Triple

T32869402
Position Surface form Disambiguated ID Type / Status
Subject Tracy Granger E840748 entity
Predicate notableWork P4 FINISHED
Object The Player
The Player is a 1992 satirical black comedy film directed by Robert Altman that skewers Hollywood through the story of a ruthless studio executive entangled in crime and industry politics.
 E185807 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: The Player | Statement: [Tracy Granger, notableWork, The Player]
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: The Player
Triple: [Tracy Granger, notableWork, The Player]
Generated description
The Player is a 1992 satirical black comedy film directed by Robert Altman that skewers Hollywood through the story of a ruthless studio executive entangled in crime and industry politics.

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_69f349436ee88190b72ee12d0f3f508e completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6cebd1bb88190925c97b1f534de19 completed May 3, 2026, 4:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34bd1559b08190895827863a22d421 completed June 19, 2026, 3:52 a.m.
NEDg Description generation batch_6a34be2961548190996f1946ea749efe completed June 19, 2026, 3:57 a.m.
NED2 Entity disambiguation (via description) batch_6a34bf150f8081909b249cb22230eb2e completed June 19, 2026, 4:01 a.m.
Created at: May 1, 2026, 1:17 a.m.