Triple

T38451709
Position Surface form Disambiguated ID Type / Status
Subject Grudge Match E912189 entity
Predicate leadActorRole P5563 FINISHED
Object Robert De Niro as Billy "The Kid" McDonnen
Robert De Niro as Billy "The Kid" McDonnen is an aging, once-celebrated boxer whose long-standing rivalry with a former opponent drives the comedic and dramatic tension of the film.
E2269773 NE FINISHED

How this triple was built (2 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: Robert De Niro as Billy "The Kid" McDonnen | Statement: [Grudge Match, leadActorRole, Robert De Niro as Billy "The Kid" McDonnen]
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: Robert De Niro as Billy "The Kid" McDonnen
Triple: [Grudge Match, leadActorRole, Robert De Niro as Billy "The Kid" McDonnen]
Generated description
Robert De Niro as Billy "The Kid" McDonnen is an aging, once-celebrated boxer whose long-standing rivalry with a former opponent drives the comedic and dramatic tension of the film.

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_69f76e84e2dc81908badf05b3aafa9ea completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fccdfed78c8190a693f4af30fc6970 completed May 7, 2026, 5:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41c2a3cbd08190b5a0654350438547 completed June 29, 2026, 12:56 a.m.
NEDg Description generation batch_6a41c40a3de08190946014ea3310a85d completed June 29, 2026, 1:02 a.m.
NED2 Entity disambiguation (via description) batch_6a41c4f387a48190a1696fb010430f69 completed June 29, 2026, 1:05 a.m.
Created at: May 3, 2026, 4:31 p.m.