Triple

T11747692
Position Surface form Disambiguated ID Type / Status
Subject Official Secrets E279325 entity
Predicate stars P1956 FINISHED
Object Matt Smith E354216 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: Matt Smith | Statement: [Official Secrets, stars, Matt Smith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matt Smith
Context triple: [Official Secrets, stars, Matt Smith]
  • A. Matt Smith chosen
    Matt Smith is a British actor best known for playing the Eleventh Doctor in the long-running science fiction television series "Doctor Who."
  • B. David Tennant
    David Tennant is a Scottish actor best known for playing the Tenth Doctor in "Doctor Who" and for prominent roles in series such as "Broadchurch" and "Good Omens."
  • C. Benedict Cumberbatch
    Benedict Cumberbatch is an acclaimed English actor known for his roles in the television series "Sherlock" and films such as "The Imitation Game" and the Marvel Cinematic Universe's "Doctor Strange."
  • D. Christopher Carlton Cumberbatch
    Christopher Carlton Cumberbatch is the eldest son of British actor Benedict Cumberbatch and theatre director Sophie Hunter.
  • E. Christopher Eccleston
    Christopher Eccleston is an English actor known for his intense, versatile performances in film and television, including roles in "Doctor Who," "The Leftovers," and numerous British dramas.
  • 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_69d6ab01038c819080714901502c84fc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a50763a081908597da118bd0a64e completed April 10, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69f01a0492b48190b6f2e3cf36b4f537 completed April 28, 2026, 2:23 a.m.
Created at: April 8, 2026, 9:41 p.m.