Triple

T13474200
Position Surface form Disambiguated ID Type / Status
Subject Fats Wall E318207 entity
Predicate conflictWith P4897 FINISHED
Object Tessa Wall E1060560 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: Tessa Wall | Statement: [Fats Wall, conflictWith, Tessa Wall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tessa Wall
Context triple: [Fats Wall, conflictWith, Tessa Wall]
  • A. Tessa Wall chosen
    Tessa Wall is the mother of Fats Wall, a character in J.K. Rowling’s novel "The Casual Vacancy."
  • B. Tessa Wheeler
    Tessa Wheeler was a pioneering early 20th-century British archaeologist known for her influential excavations and contributions to developing modern archaeological methods.
  • C. Tessa Ross
    Tessa Ross is a prominent British film and television producer known for backing acclaimed, often auteur-driven projects across UK cinema and high-end TV drama.
  • D. Tessa Piggott
    Tessa Piggott is the central protagonist of the British television drama series "Love Hurts," around whose personal and professional life the story revolves.
  • E. Tessa Humphries
    Tessa Humphries is an Australian actress and the daughter of famed comedian and satirist Barry Humphries.
  • 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_69d806b6bfec819089222715b2e86c8e completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf2447bc81908baf1f4b55095144 completed April 12, 2026, 2:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7ce5ecad88190b7c8236969d9abc7 completed May 3, 2026, 10:38 p.m.
Created at: April 9, 2026, 9:42 p.m.