Triple

T13647904
Position Surface form Disambiguated ID Type / Status
Subject Dunphy family E326152 entity
Predicate createdBy P806 FINISHED
Object Christopher Lloyd E325118 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: Christopher Lloyd | Statement: [Dunphy family, createdBy, Christopher Lloyd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christopher Lloyd
Context triple: [Dunphy family, createdBy, Christopher Lloyd]
  • A. Christopher Lloyd
    Christopher Lloyd is an American actor best known for his eccentric and memorable roles in film and television, including the time-traveling scientist Doc Brown in the "Back to the Future" trilogy.
  • B. Christopher Lloyd chosen
    Christopher Lloyd is an American television producer and writer best known for co-creating the hit sitcom Modern Family and his work on series like Frasier.
  • C. Jonathan Hyde
    Jonathan Hyde is an English-Australian actor known for his roles in films like "Titanic," "Jumanji," and "The Mummy," as well as extensive work in television, theatre, and voice acting.
  • D. Richard Daniels
    Richard Daniels was a silent film actor known for his comedic roles in early 20th-century cinema.
  • E. Hugh Lloyd
    Hugh Lloyd was a British character actor and comedian best known for his work in mid-20th-century film and television, particularly in comic roles.
  • 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_69d8076beddc8190a53156f5bea77f5e completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc6073e888190965456a639839749 completed April 12, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd08852a08190b9983e0c3058671a completed May 7, 2026, 5:48 p.m.
Created at: April 9, 2026, 9:52 p.m.