Triple

T15199564
Position Surface form Disambiguated ID Type / Status
Subject Tennant E363230 entity
Predicate hasNotableBearer P458 FINISHED
Object Emma Tennant E1022238 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: Emma Tennant | Statement: [Tennant, hasNotableBearer, Emma Tennant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emma Tennant
Context triple: [Tennant, hasNotableBearer, Emma Tennant]
  • A. Emma Tennant chosen
    Emma Tennant was a British novelist known for her experimental, often fantastical fiction and for reimagining classic literary works.
  • B. Jane Tennant
    Jane Tennant is the fictional Special Agent in Charge of the NCIS Pearl Harbor field office and the lead protagonist of the television series NCIS: Hawaiʻi.
  • C. Kara Tointon
    Kara Tointon is an English actress best known for her roles in television dramas and soap operas such as EastEnders and for winning the BBC competition Strictly Come Dancing.
  • D. Sarah Wenham
    Sarah Wenham is a central character in the supernatural horror film "The Covenant," drawn into the dangerous world of a secretive group of teenage warlocks and their inherited powers.
  • E. Tessa Menzies
    Tessa Menzies is a child of California politician and governor Gavin Newsom.
  • 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e006b476208190a5119710c518bb1f completed April 15, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0035450810819092796c556dfa8ed3 completed May 10, 2026, 7:35 a.m.
Created at: April 10, 2026, 3:10 a.m.