Triple

T14610655
Position Surface form Disambiguated ID Type / Status
Subject Arturo Braga E342950 entity
Predicate createdBy P806 FINISHED
Object Chris Morgan unclear NED1 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: [Arturo Braga, createdBy, Chris Morgan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chris Morgan
Context triple: [Arturo Braga, createdBy, Chris Morgan]
  • A. Chris Morgan
    Chris Morgan is an American screenwriter and producer best known for his extensive work on the Fast & Furious film franchise.
  • B. Christopher A. Morgan
    Christopher A. Morgan was an early settler and prominent figure in Colorado’s history for whom the city of Fort Morgan was named.
  • C. Christopher Murney
    Christopher Murney is an American character actor and voice actor known for his work in film, television, and animation, including a prominent role on the series "Remember WENN."
  • D. Mitch Rouse
    Mitch Rouse is an American actor, comedian, and writer known for his work in film and television, including co-creating the series "Strangers with Candy" and appearing in numerous comedic roles.
  • E. Mike Morgan
    Mike Morgan is a benefactor known for sponsoring the Stonewall Book Award, which honors outstanding LGBTQ+ literature.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69d822dec68081908c2553145c4051dc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb44f0dd48190a78662b5998a6722 completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda91f437c8190ada4d1c3708faedd completed May 8, 2026, 9:13 a.m.
Created at: April 10, 2026, 1:25 a.m.