Triple

T33802082
Position Surface form Disambiguated ID Type / Status
Subject Jim MacLaine film series E866247 entity
Predicate follows P134 FINISHED
Object Jim MacLaine
Jim MacLaine is a fictional British anti-hero whose life, from restless youth to disillusioned adulthood, is chronicled across the 1970s rock‑culture film series that bears his name.
 E2070699 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: Jim MacLaine | Statement: [Jim MacLaine film series, follows, Jim MacLaine]
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: Jim MacLaine
Triple: [Jim MacLaine film series, follows, Jim MacLaine]
Generated description
Jim MacLaine is a fictional British anti-hero whose life, from restless youth to disillusioned adulthood, is chronicled across the 1970s rock‑culture film series that bears his name.

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_69f3499057fc81909d862b1309a3bd71 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6ffbad8848190867c2988c0ceb84f completed May 3, 2026, 7:56 a.m.
NED1 Entity disambiguation (via context triple) batch_6a36760934408190915f213ef79baa53 completed June 20, 2026, 11:14 a.m.
NEDg Description generation batch_6a3676a116cc81909ee883bc32fb5035 completed June 20, 2026, 11:16 a.m.
NED2 Entity disambiguation (via description) batch_6a36772ae3308190849be7395a7adcde completed June 20, 2026, 11:19 a.m.
Created at: May 1, 2026, 1:46 a.m.