Triple

T3664718
Position Surface form Disambiguated ID Type / Status
Subject The Trail of '98 (1928 film) E77732 entity
Predicate starring P1507 FINISHED
Object Russell Simpson E294140 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 Simpson | Statement: [The Trail of '98 (1928 film), starring, Russell Simpson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Russell Simpson
Context triple: [The Trail of '98 (1928 film), starring, Russell Simpson]
  • A. Russell Simpson chosen
    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.
  • B. Russell Smith
    Russell Smith is a film producer best known for his work on the acclaimed coming-of-age drama "Young Adult."
  • C. Graham Russell
    Graham Russell is an English musician and songwriter best known as the co-founder and guitarist of the soft rock duo Air Supply.
  • D. Craig Simpson
    Craig Simpson is a former NHL left winger who became a prominent Canadian ice hockey broadcaster and analyst.
  • E. 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.
  • 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_69ad85dfc4dc8190a441864202ab2a7a completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc400352081908c16a6a7670eb52a completed March 8, 2026, 6:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4fafdfe108190a808364578d5edd1 completed March 14, 2026, 6:06 a.m.
Created at: March 8, 2026, 3:25 p.m.