Triple

T268552
Position Surface form Disambiguated ID Type / Status
Subject Christine Teigen E5573 entity
Predicate givenName P17 FINISHED
Object Christine E5573 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: Christine | Statement: [Christine Teigen, givenName, Christine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christine
Context triple: [Christine Teigen, givenName, Christine]
  • A. Christine chosen
    Christine is the birth name of Chrissy Teigen, an American model, television personality, and cookbook author.
  • B. The Concert
    The Concert is an unfinished and now missing painting by Dutch Golden Age master Johannes Vermeer, depicting an intimate scene of three figures making music in a domestic interior.
  • C. Roberta
    Roberta is a feminine given name commonly used in various languages, derived from the masculine name Robert.
  • D. Paradise
    "Paradise" is a 1997 novel by Nobel Prize–winning author Toni Morrison that explores race, gender, community, and violence in an all-Black town in Oklahoma.
  • E. Stardust
    "Stardust" is a classic popular song, widely regarded as a jazz and American Songbook standard, famously interpreted by Louis Armstrong and many other artists.
  • 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_69a25853594c8190b05ec3a586ec88bf completed Feb. 28, 2026, 2:52 a.m.
NER Named-entity recognition batch_69a25dae4a0c8190a66cf6ed3889851c completed Feb. 28, 2026, 3:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69a38b9082b8819099cd5e7fe3c7335f completed March 1, 2026, 12:42 a.m.
Created at: Feb. 28, 2026, 2:57 a.m.