Triple

T19165038
Position Surface form Disambiguated ID Type / Status
Subject Curt Henderson E469156 entity
Predicate hasFriend P8712 FINISHED
Object John Milner NE NERFINISHED

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: John Milner | Statement: [Curt Henderson, hasFriend, John Milner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Milner
Context triple: [Curt Henderson, hasFriend, John Milner]
  • A. John Milner chosen
    John Milner is a fictional hot-rod enthusiast and central character from the American Graffiti film series, emblematic of 1960s car culture and teenage rebellion.
  • B. Jonathan Milner
    Jonathan Milner is a British entrepreneur and scientist best known as the co-founder of the life sciences reagents company Abcam.
  • C. Ian Gilmour
    Ian Gilmour was a British Conservative politician and cabinet minister who served in senior roles including Defence Secretary and Lord Privy Seal during the 1970s and early 1980s.
  • D. Tim Atack
    Tim Atack is a British composer and musician known for his film and television scores, including work on projects like "Cemetery Junction."
  • E. Julian Morris
    Julian Morris is a British actor known for his roles in television series such as "Pretty Little Liars," "New Girl," and various film and TV dramas.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd09d5a081909ae43c286651ae5a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f15e2720819084b1707497db26a2 completed April 20, 2026, 9:26 a.m.
Created at: April 10, 2026, 12:06 p.m.