Triple

T11313357
Position Surface form Disambiguated ID Type / Status
Subject Lianne Halfon E267897 entity
Predicate partnerInBusinessWith P282 FINISHED
Object Russell Smith E289028 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: Russell Smith | Statement: [Lianne Halfon, partnerInBusinessWith, Russell Smith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Russell Smith
Context triple: [Lianne Halfon, partnerInBusinessWith, Russell Smith]
  • A. Russell Smith chosen
    Russell Smith is a film producer best known for his work on the acclaimed coming-of-age drama "Young Adult."
  • B. Russell Simpson
    Russell Simpson was an American character actor best known for his frequent roles in Westerns and classic Hollywood films, including several collaborations with director John Ford.
  • C. Russell Boyd
    Russell Boyd is an acclaimed Australian cinematographer best known for his work on films such as "Master and Commander: The Far Side of the World," for which he won an Academy Award.
  • D. Greg Smith
    Greg Smith is a British Conservative Party politician who has served as the Member of Parliament for the Buckingham constituency.
  • E. Ben Smithard
    Ben Smithard is a British cinematographer known for his work on feature films and television dramas, including the biographical film "My Week with Marilyn."
  • 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_69d6aaca5c24819083db46a30d86cb34 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9c1b7dc81908d8cc768c47390d3 completed April 9, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69e58b4ec4ac81908d51e3815a054704 completed April 20, 2026, 2:11 a.m.
Created at: April 8, 2026, 9:32 p.m.