Triple

T31949048
Position Surface form Disambiguated ID Type / Status
Subject Frank Grillo E815729 entity
Predicate notableWork P4 FINISHED
Object Warrior
Warrior is a 2011 sports drama film centered on mixed martial arts and a fractured family, directed by Gavin O’Connor and starring Tom Hardy, Joel Edgerton, and Nick Nolte.
E265958 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: Warrior | Statement: [Frank Grillo, notableWork, Warrior]
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: Warrior
Triple: [Frank Grillo, notableWork, Warrior]
Generated description
Warrior is a 2011 sports drama film centered on mixed martial arts and a fractured family, directed by Gavin O’Connor and starring Tom Hardy, Joel Edgerton, and Nick Nolte.

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_69f348f42d188190a33fc8d20ec50517 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6b2a65c7c8190ac40f1466ceadefc completed May 3, 2026, 2:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2e8a4a3edc8190a5aa36941b73df9d completed June 14, 2026, 11:02 a.m.
NEDg Description generation batch_6a2e8af44d208190a478474dbd7d0178 completed June 14, 2026, 11:05 a.m.
NED2 Entity disambiguation (via description) batch_6a2e8bea3a60819088295cb1c20f0f69 completed June 14, 2026, 11:09 a.m.
Created at: May 1, 2026, 12:07 a.m.