Triple

T3338396
Position Surface form Disambiguated ID Type / Status
Subject James Algar E70195 entity
Predicate name P16 FINISHED
Object James Algar E70195 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: James Algar | Statement: [James Algar, name, James Algar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: James Algar
Context triple: [James Algar, name, James Algar]
  • A. James Algar chosen
    James Algar was an American film director, producer, and screenwriter best known for his long career at Walt Disney Studios, where he worked on both animated features and nature documentaries.
  • B. John Dolman
    John Dolman was an English clergyman and benefactor of the late 16th century best known for establishing Pocklington School in Yorkshire.
  • C. John Alderman
    John Alderman was a Native American allied with the English colonists who became historically known for killing the Wampanoag leader Metacomet (King Philip) during King Philip’s War.
  • D. Ray Cusick
    Ray Cusick was a British designer best known for creating the iconic look of the Daleks in the long-running science fiction television series Doctor Who.
  • E. Tom Alberg
    Tom Alberg was an American lawyer, venture capitalist, and early Amazon investor known for co-founding the venture capital firm Madrona Venture Group.
  • 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_69ad85a405e48190b6e68de7cf9f319e completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb1bd6c7c8190b7229de1433d8d20 completed March 8, 2026, 5:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56275e1708190aa4b02acebb978c6 completed March 14, 2026, 1:28 p.m.
Created at: March 8, 2026, 3:12 p.m.