Triple

T13608349
Position Surface form Disambiguated ID Type / Status
Subject Phil Dunphy E325123 entity
Predicate creator P184 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: [Phil Dunphy, creator, Christopher Lloyd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christopher Lloyd
Context triple: [Phil Dunphy, creator, 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb07f462c8190b5b5e115d550037f completed April 12, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7b05f0e948190b7f22d071ad54283 completed May 3, 2026, 8:30 p.m.
Created at: April 9, 2026, 9:50 p.m.