Triple

T3965403
Position Surface form Disambiguated ID Type / Status
Subject Flesh and Stone E92204 entity
Predicate starsActor P5563 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: [Flesh and Stone, starsActor, Matt Smith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matt Smith
Context triple: [Flesh and Stone, starsActor, 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_69aed96624188190ac8c45bb57ab72b5 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef97520588190922e56201fc3ca52 completed March 9, 2026, 4:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b55619cb548190ac2553f23de9bfed completed March 14, 2026, 12:35 p.m.
Created at: March 9, 2026, 3:31 p.m.