Triple
T21764552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sally |
E537243
|
entity |
| Predicate | partOfCastEnsembleWith |
P36850
|
FINISHED |
| Object |
Gabe Roth
Gabe Roth is an actor known for working alongside Sally as part of the same cast ensemble.
|
E1501682
|
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: Gabe Roth | Statement: [Sally, partOfCastEnsembleWith, Gabe Roth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gabe Roth Context triple: [Sally, partOfCastEnsembleWith, Gabe Roth]
-
A.
Gabe Roth
Gabe Roth is a central character in Woody Allen's film "Husbands and Wives," portrayed as a New York writer grappling with marital turmoil and personal insecurity.
-
B.
Jason Rubin
Jason Rubin is an American video game designer and co-founder of Naughty Dog, best known for his work on the Crash Bandicoot series.
-
C.
Jason Rothenberg
Jason Rothenberg is an American television writer and producer best known for developing and showrunning the post-apocalyptic sci-fi series "The 100."
-
D.
Erren Gottlieb
Erren Gottlieb is a television producer and co-creator best known for helping develop the popular educational series "Bill Nye the Science Guy."
-
E.
Gabe Plotkin
Gabe Plotkin is an American hedge fund manager and investor best known as the founder of Melvin Capital Management and a co-owner of the NBA’s Charlotte Hornets.
- 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: Gabe Roth Triple: [Sally, partOfCastEnsembleWith, Gabe Roth]
Generated description
Gabe Roth is an actor known for working alongside Sally as part of the same cast ensemble.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gabe Roth Target entity description: Gabe Roth is an actor known for working alongside Sally as part of the same cast ensemble.
-
A.
Gabe Roth
Gabe Roth is a central character in Woody Allen's film "Husbands and Wives," portrayed as a New York writer grappling with marital turmoil and personal insecurity.
-
B.
Jason Rubin
Jason Rubin is an American video game designer and co-founder of Naughty Dog, best known for his work on the Crash Bandicoot series.
-
C.
Jason Rothenberg
Jason Rothenberg is an American television writer and producer best known for developing and showrunning the post-apocalyptic sci-fi series "The 100."
-
D.
Erren Gottlieb
Erren Gottlieb is a television producer and co-creator best known for helping develop the popular educational series "Bill Nye the Science Guy."
-
E.
Gabe Plotkin
Gabe Plotkin is an American hedge fund manager and investor best known as the founder of Melvin Capital Management and a co-owner of the NBA’s Charlotte Hornets.
- 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_69e0c46f5d1c8190bf830409e98464e5 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f031a8a7f08190a4e50ebc24219585 |
completed | April 28, 2026, 4:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a3e6afc108190a642c269f43b3335 |
completed | May 17, 2026, 10:17 p.m. |
| NEDg | Description generation | batch_6a0a3f65ca688190ba762e3403d747ac |
completed | May 17, 2026, 10:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a3fcce3a48190ac13842ad0a9dfba |
completed | May 17, 2026, 10:23 p.m. |
Created at: April 16, 2026, 6:51 p.m.