Triple

T13026019
Position Surface form Disambiguated ID Type / Status
Subject Gail Abernathy-McKadden E326306 entity
Predicate hasColleague P398 FINISHED
Object Fat Amy E734530 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: Fat Amy | Statement: [Gail Abernathy-McKadden, hasColleague, Fat Amy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fat Amy
Context triple: [Gail Abernathy-McKadden, hasColleague, Fat Amy]
  • A. Fat Amy chosen
    Fat Amy is the outspoken, comedic Australian singer and member of the Barden Bellas a cappella group in the "Pitch Perfect" film series.
  • B. Charly
    Charly is a 1968 American drama film directed by Ralph Nelson, best known for Cliff Robertson’s Oscar-winning portrayal of a man with intellectual disabilities who undergoes an experimental intelligence-enhancing procedure.
  • C. Charly
    Charly is a Mexican sportswear and footwear brand known for producing soccer apparel, shoes, and equipment.
  • D. Nelly Dean
    Nelly Dean is the housekeeper whose detailed recollections form the central narrative framework of Emily Brontë’s novel "Wuthering Heights."
  • E. Cilla
    Cilla is a feminine given name, commonly used as a diminutive form of Priscilla.
  • 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_69d8076cc45c81908123123f43e69266 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97efac71881908a21d70c3c6ce099 completed April 10, 2026, 10:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c11f83d88190bc153dba75db0995 completed May 3, 2026, 3:29 a.m.
Created at: April 9, 2026, 8:53 p.m.