Triple
T268769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FABLife |
E5578
|
entity |
| Predicate | presenter |
P83
|
FINISHED |
| Object |
Joe Zee
Joe Zee is a Canadian-born fashion stylist, editor, and television personality known for his influential work in fashion media and style-focused TV shows.
|
E38275
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Joe Zee | Statement: [FABLife, presenter, Joe Zee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joe Zee Context triple: [FABLife, presenter, Joe Zee]
-
A.
Jon Jashni
Jon Jashni is an American film and television producer and media executive known for his work on major studio genre films and for leadership roles at companies like Legendary Entertainment.
-
B.
Jimmy Ba
Jimmy Ba is a prominent machine learning researcher known for his work on deep learning optimization methods such as the Adam optimizer.
-
C.
Brian VanDeMark
Brian VanDeMark is an American historian and author known for his work on U.S. foreign policy and the Vietnam War, including coauthoring influential studies of that conflict.
-
D.
Eddie Brinkman
Eddie Brinkman was an American Major League Baseball shortstop known primarily for his strong defensive play during the 1960s and early 1970s.
-
E.
Mike Starr
Mike Starr is an American character actor known for his imposing presence and frequent roles as tough guys or mobsters in films and television.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Joe Zee Triple: [FABLife, presenter, Joe Zee]
Generated description
Joe Zee is a Canadian-born fashion stylist, editor, and television personality known for his influential work in fashion media and style-focused TV shows.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Joe Zee Target entity description: Joe Zee is a Canadian-born fashion stylist, editor, and television personality known for his influential work in fashion media and style-focused TV shows.
-
A.
Jon Jashni
Jon Jashni is an American film and television producer and media executive known for his work on major studio genre films and for leadership roles at companies like Legendary Entertainment.
-
B.
Jimmy Ba
Jimmy Ba is a prominent machine learning researcher known for his work on deep learning optimization methods such as the Adam optimizer.
-
C.
Brian VanDeMark
Brian VanDeMark is an American historian and author known for his work on U.S. foreign policy and the Vietnam War, including coauthoring influential studies of that conflict.
-
D.
Eddie Brinkman
Eddie Brinkman was an American Major League Baseball shortstop known primarily for his strong defensive play during the 1960s and early 1970s.
-
E.
Mike Starr
Mike Starr is an American character actor known for his imposing presence and frequent roles as tough guys or mobsters in films and television.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a25853594c8190b05ec3a586ec88bf |
completed | Feb. 28, 2026, 2:52 a.m. |
| NER | Named-entity recognition | batch_69a25dae4a0c8190a66cf6ed3889851c |
completed | Feb. 28, 2026, 3:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3a88442708190af1193469316f757 |
completed | March 1, 2026, 2:46 a.m. |
| NEDg | Description generation | batch_69a3a90299888190b7f88d6411531823 |
completed | March 1, 2026, 2:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3a96d153081909fab6bace45206ec |
completed | March 1, 2026, 2:50 a.m. |
Created at: Feb. 28, 2026, 2:57 a.m.