Triple

T1736572
Position Surface form Disambiguated ID Type / Status
Subject Harold Abrahams E37931 entity
Predicate portrayedBy P1507 FINISHED
Object Ben Cross E197952 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: Ben Cross | Statement: [Harold Abrahams, portrayedBy, Ben Cross]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ben Cross
Context triple: [Harold Abrahams, portrayedBy, Ben Cross]
  • A. Ben Cross chosen
    Ben Cross was a British actor best known for his breakthrough role as Olympic runner Harold Abrahams in the film "Chariots of Fire."
  • B. Ian Hanmore
    Ian Hanmore is a Scottish character actor known for his work in British film and television, including roles in series like Game of Thrones and Doctor Who.
  • C. David Craig
    David Craig is a senior Royal Air Force officer who rose to become Chief of the Air Staff and later Chief of the Defence Staff of the United Kingdom.
  • D. Stephen Norton
    Stephen Norton is a mathematician known for his contributions to the theory of finite groups and the Monster group in particular.
  • E. Mark Strong
    Mark Strong is a British actor known for his intense screen presence and frequent roles as complex villains or stern mentors in films such as "Kingsman," "Sherlock Holmes," and "Tinker Tailor Soldier Spy."
  • 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_69a8861cc6ac8190ac0b2e31ccf62851 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa63a369048190bae352573f5082f1 completed March 6, 2026, 5:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69adb5c065088190b831c65ae55eed14 completed March 8, 2026, 5:45 p.m.
Created at: March 4, 2026, 7:30 p.m.