Triple

T7642215
Position Surface form Disambiguated ID Type / Status
Subject Ahsoka E173034 entity
Predicate stars P1956 FINISHED
Object David Tennant E118674 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: David Tennant | Statement: [Ahsoka, stars, David Tennant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Tennant
Context triple: [Ahsoka, stars, David Tennant]
  • A. David Tennant chosen
    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."
  • B. 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.
  • C. Matt Smith
    Matt Smith is a British actor best known for playing the Eleventh Doctor in the long-running science fiction television series "Doctor Who."
  • D. Paul McGann
    Paul McGann is an English actor best known for playing the Eighth Doctor in the long-running science fiction series Doctor Who and for his roles in films such as "Withnail and I."
  • E. Peter Firth
    Peter Firth is an English actor best known for his roles in the film "Equus" and the television series "Spooks" (MI-5).
  • 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_69c6995360188190968ee57b72a1627f completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6facefbe08190882bd76cf3cd605e completed March 27, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c870d1008c8190898a582a82038e48 completed March 29, 2026, 12:22 a.m.
Created at: March 27, 2026, 3:58 p.m.