Triple

T14348812
Position Surface form Disambiguated ID Type / Status
Subject Chasing Liberty E355797 entity
Predicate composer P1361 FINISHED
Object Christian Henson E883703 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: Christian Henson | Statement: [Chasing Liberty, composer, Christian Henson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christian Henson
Context triple: [Chasing Liberty, composer, Christian Henson]
  • A. Christian Henson chosen
    Christian Henson is a British film and television composer known for his work on numerous scores and for co-founding the virtual instrument company Spitfire Audio.
  • B. James Honeyborne
    James Honeyborne is a British wildlife filmmaker and producer best known for leading major BBC nature documentaries, including serving as executive producer of Blue Planet II.
  • C. Giles Nuttgens
    Giles Nuttgens is a British cinematographer known for his visually distinctive work on independent films and major features, often collaborating with directors like Deepa Mehta and David Mackenzie.
  • D. Alan Coleman
    Alan Coleman is a technology entrepreneur best known as a founder of the software company Borland.
  • E. Hansel McDonald
    Hansel McDonald is the laid-back, free-spirited male supermodel character from the "Zoolander" comedy films.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d82790a7e08190877e2d349b2e8d8e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8e8d081c8190ac805726a3e98f4c completed April 14, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd46a12ad08190a2f0dc5890ed5ce9 completed May 8, 2026, 2:12 a.m.
Created at: April 10, 2026, 1:14 a.m.