Triple

T34037653
Position Surface form Disambiguated ID Type / Status
Subject Matt Sherring E872849 entity
Predicate wrote P2831 FINISHED
Object Killer Elite
Killer Elite is a 2011 action thriller film starring Jason Statham, Clive Owen, and Robert De Niro, centered on a retired special-ops agent forced back into a deadly international assassination plot.
E237581 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: Killer Elite | Statement: [Matt Sherring, wrote, Killer Elite]
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: Killer Elite
Triple: [Matt Sherring, wrote, Killer Elite]
Generated description
Killer Elite is a 2011 action thriller film starring Jason Statham, Clive Owen, and Robert De Niro, centered on a retired special-ops agent forced back into a deadly international assassination plot.

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_69f349a3363081909cea4c9a848cefe2 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f70b3e5ba08190b9c04850622becd3 completed May 3, 2026, 8:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a36ae43decc819095ef507579dff00d completed June 20, 2026, 3:14 p.m.
NEDg Description generation batch_6a36aebf5cd881909068286da30670c2 completed June 20, 2026, 3:16 p.m.
NED2 Entity disambiguation (via description) batch_6a36af3428dc8190aedbfd793f6ddf7c completed June 20, 2026, 3:18 p.m.
Created at: May 1, 2026, 1:51 a.m.