Triple

T12333470
Position Surface form Disambiguated ID Type / Status
Subject The In Crowd E294019 entity
Predicate castMember P1668 FINISHED
Object Tess Harper E755729 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: Tess Harper | Statement: [The In Crowd, castMember, Tess Harper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tess Harper
Context triple: [The In Crowd, castMember, Tess Harper]
  • A. Tess Harper chosen
    Tess Harper is an American actress known for her work in film and television, including acclaimed roles in projects like "Crimes of the Heart" and "Tender Mercies."
  • B. Tess Carlisle
    Tess Carlisle is the wealthy, strong-willed widow of a U.S. senator whose contentious relationship with her Secret Service detail drives the plot of the film "Guarding Tess."
  • C. Tess Harding
    Tess Harding is the sophisticated, career-driven political columnist portrayed by Katharine Hepburn in the 1942 film "Woman of the Year."
  • D. Tess McGill
    Tess McGill is the ambitious, street-smart Staten Island secretary who fights to advance her career in the 1988 film "Working Girl."
  • E. Tess Gallagher
    Tess Gallagher is an American poet, essayist, and short story writer known for her lyrical style and for her long personal and creative partnership with writer Raymond Carver.
  • 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_69d6ab6ae0dc8190b1522a9c1c55c114 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f64ad20819080d99e57833b4b51 completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62aa367348190b3991f256586a331 completed May 2, 2026, 4:47 p.m.
Created at: April 8, 2026, 9:53 p.m.