Triple

T15548143
Position Surface form Disambiguated ID Type / Status
Subject Tess Gallagher E370666 entity
Predicate name P16 FINISHED
Object Tess Gallagher E370666 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 Gallagher | Statement: [Tess Gallagher, name, Tess Gallagher]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tess Gallagher
Context triple: [Tess Gallagher, name, Tess Gallagher]
  • A. Tess Gallagher chosen
    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.
  • B. Tess Ross
    Tess Ross is the daughter of Carol Hathaway, a central character from the television series "ER."
  • C. Tess McGill
    Tess McGill is the ambitious, street-smart Staten Island secretary who fights to advance her career in the 1988 film "Working Girl."
  • D. Ruby Gentry
    Ruby Gentry is a 1952 American melodrama film directed by King Vidor, starring Jennifer Jones as a poor Southern woman whose passionate love and social struggles lead to tragedy.
  • E. 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."
  • 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_69d85cc6cf40819091f4a5facee1ebe6 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04a93121881909d88ca55a39252ac completed April 16, 2026, 2:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff5f2f229081908faf15f9d8efecbf completed May 9, 2026, 4:22 p.m.
Created at: April 10, 2026, 4:08 a.m.