Triple

T2939510
Position Surface form Disambiguated ID Type / Status
Subject 47 Ronin E79349 entity
Predicate screenwriter P2831 FINISHED
Object Chris Morgan E197196 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: Chris Morgan | Statement: [47 Ronin, screenwriter, Chris Morgan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chris Morgan
Context triple: [47 Ronin, screenwriter, Chris Morgan]
  • A. Chris Morgan chosen
    Chris Morgan is an American screenwriter and producer best known for his extensive work on the Fast & Furious film franchise.
  • B. Mike Montemerlo
    Mike Montemerlo is a roboticist and computer scientist known for his work on autonomous vehicles as a key member of Stanford's pioneering self-driving car efforts.
  • C. Michael Rogers
    Michael Rogers is a relatively common personal name shared by multiple individuals across fields such as politics, sports, and the arts, rather than referring to one singular widely recognized figure.
  • D. Jeff MacNelly
    Jeff MacNelly was an American editorial cartoonist and creator of the comic strip "Shoe," renowned for his sharp political satire and three Pulitzer Prizes for Editorial Cartooning.
  • E. Mark Okerstrom
    Mark Okerstrom is a Canadian business executive best known for serving as the former CEO of Expedia 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_69ad8b0fbab081908f6a61567c045d8d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad986d9a248190927efc1a0c7d247f completed March 8, 2026, 3:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69b08686b0388190a214ad8a615f2da5 completed March 10, 2026, 9 p.m.
Created at: March 8, 2026, 2:56 p.m.