Triple
T7212623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patty Fenn |
E149443
|
entity |
| Predicate | collaboratesWith |
P37
|
FINISHED |
| Object |
Lee Gates
Lee Gates is a charismatic but controversial financial TV show host featured in the film "Money Monster."
|
E154560
|
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: Lee Gates | Statement: [Patty Fenn, collaboratesWith, Lee Gates]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lee Gates Context triple: [Patty Fenn, collaboratesWith, Lee Gates]
-
A.
Lee Gates
Lee Gates is the brash, fast-talking financial TV host portrayed by George Clooney in the thriller film "Money Monster."
-
B.
Scott Mayfield
Scott Mayfield is an American professional ice hockey defenseman best known for his career with the New York Islanders in the NHL.
-
C.
Gerry Davis
Gerry Davis is a longtime Major League Baseball umpire known for working numerous postseason games and serving as a crew chief in multiple World Series.
-
D.
Gerry Davis
Gerry Davis was a British television writer and script editor best known for his work on Doctor Who, including co-creating the iconic Cybermen.
-
E.
Roger Gale
Roger Gale is a fictional protagonist whose experiences and relationships drive the central narrative of the story about his family.
- 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: Lee Gates Triple: [Patty Fenn, collaboratesWith, Lee Gates]
Generated description
Lee Gates is a charismatic but controversial financial TV show host featured in the film "Money Monster."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lee Gates Target entity description: Lee Gates is a charismatic but controversial financial TV show host featured in the film "Money Monster."
-
A.
Lee Gates
chosen
Lee Gates is the brash, fast-talking financial TV host portrayed by George Clooney in the thriller film "Money Monster."
-
B.
Scott Mayfield
Scott Mayfield is an American professional ice hockey defenseman best known for his career with the New York Islanders in the NHL.
-
C.
Gerry Davis
Gerry Davis is a longtime Major League Baseball umpire known for working numerous postseason games and serving as a crew chief in multiple World Series.
-
D.
Gerry Davis
Gerry Davis was a British television writer and script editor best known for his work on Doctor Who, including co-creating the iconic Cybermen.
-
E.
Roger Gale
Roger Gale is a fictional protagonist whose experiences and relationships drive the central narrative of the story about his family.
- F. None of above.
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_69c687eca814819095abb52316b1af80 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6e98b61448190add3624a818fdc7b |
completed | March 27, 2026, 8:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7bfcec3448190ab29c3742aa167ae |
completed | March 28, 2026, 11:47 a.m. |
| NEDg | Description generation | batch_69c7c05a1f548190914a9b2ba98cbef2 |
completed | March 28, 2026, 11:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7c0e6b508819093092e3516a9ec46 |
completed | March 28, 2026, 11:52 a.m. |
Created at: March 27, 2026, 2:53 p.m.