Triple

T268574
Position Surface form Disambiguated ID Type / Status
Subject Christine Teigen E5573 entity
Predicate hasInstagramUsername P3718 FINISHED
Object chrissyteigen E1036 NE FINISHED

How this triple was built (3 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: chrissyteigen | Statement: [Christine Teigen, hasInstagramUsername, chrissyteigen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: chrissyteigen
Context triple: [Christine Teigen, hasInstagramUsername, chrissyteigen]
  • A. Chrissy Teigen chosen
    Chrissy Teigen is an American model, television personality, and cookbook author known for her Sports Illustrated work, outspoken social media presence, and lifestyle brand.
  • B. Gillian
    Gillian is a feminine given name of Latin origin, commonly used in English-speaking countries.
  • C. Kathleen
    Kathleen is a feminine given name of Irish origin, derived from the name Catherine and widely used in English-speaking countries.
  • D. Kathy
    Kathy is the given name of Kathy Hochul, the 57th governor of New York and the first woman to hold that office.
  • E. Maxine
    Maxine is a character featured in the film "Once Again."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasInstagramUsername
Context triple: [Christine Teigen, hasInstagramUsername, chrissyteigen]
  • A. instagramUsername chosen
    Indicates that one entity is the Instagram handle or username associated with another entity.
  • B. twitterUsername
    Indicates that one entity is the Twitter handle or username associated with another entity.
  • C. twitterHandle
    Indicates that one entity is the Twitter username or account identifier associated with another entity.
  • D. githubUsername
    Indicates that one entity is the GitHub account username associated with another entity.
  • E. nameOf
    Indicates that one entity is the name or designation of another entity.
  • F. None of above.

Provenance (4 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.
PD Predicate disambiguation batch_69a25b70d99c819085d8381a313a2a34 completed Feb. 28, 2026, 3:05 a.m.
Created at: Feb. 28, 2026, 2:57 a.m.