Triple
T14413260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skiptrace |
E357383
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
David Gerson
David Gerson is a film producer known for his work on the action-comedy movie "Skiptrace."
|
E1152250
|
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: David Gerson | Statement: [Skiptrace, producer, David Gerson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Gerson Context triple: [Skiptrace, producer, David Gerson]
-
A.
Gordon Edelstein
Gordon Edelstein is an American theatre director known for his long tenure leading and shaping the artistic vision of major regional stages, particularly in New Haven.
-
B.
Dan Gershon
Dan Gershon is known as the brother of American actress Gina Gershon.
-
C.
Douglas Shulman
Douglas Shulman is an American public official who served as the head of the U.S. Internal Revenue Service (IRS) during the late 2000s and early 2010s.
-
D.
Bernard Gersten
Bernard Gersten was a prominent American theatrical producer and longtime executive producer of Lincoln Center Theater, known for championing ambitious and innovative stage productions.
-
E.
Michael Greenberg
Michael Greenberg is a prominent American neuroscientist renowned for his pioneering work on activity-dependent gene expression in the brain.
- 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: David Gerson Triple: [Skiptrace, producer, David Gerson]
Generated description
David Gerson is a film producer known for his work on the action-comedy movie "Skiptrace."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: David Gerson Target entity description: David Gerson is a film producer known for his work on the action-comedy movie "Skiptrace."
-
A.
Gordon Edelstein
Gordon Edelstein is an American theatre director known for his long tenure leading and shaping the artistic vision of major regional stages, particularly in New Haven.
-
B.
Dan Gershon
Dan Gershon is known as the brother of American actress Gina Gershon.
-
C.
Douglas Shulman
Douglas Shulman is an American public official who served as the head of the U.S. Internal Revenue Service (IRS) during the late 2000s and early 2010s.
-
D.
Bernard Gersten
Bernard Gersten was a prominent American theatrical producer and longtime executive producer of Lincoln Center Theater, known for championing ambitious and innovative stage productions.
-
E.
Michael Greenberg
Michael Greenberg is a prominent American neuroscientist renowned for his pioneering work on activity-dependent gene expression in the brain.
- 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_69d82793421c8190861eb0e673b085de |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de90cb3c708190822f5506ebf7ee9d |
completed | April 14, 2026, 7:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff01d196d88190a8fa54468b2de1bb |
completed | May 9, 2026, 9:43 a.m. |
| NEDg | Description generation | batch_69ff02c10b648190b1e2e04aa0c2596d |
completed | May 9, 2026, 9:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff066e367c8190a0720fe636355ff8 |
completed | May 9, 2026, 10:03 a.m. |
Created at: April 10, 2026, 1:17 a.m.