Triple

T12627825
Position Surface form Disambiguated ID Type / Status
Subject Heathfield School, Ascot E301561 entity
Predicate notableAlumna P4387 FINISHED
Object Emma Tennant
Emma Tennant was a British novelist known for her experimental, often fantastical fiction and for reimagining classic literary works.
E1022238 NE FINISHED

How this triple was built (4 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: [Heathfield School, Ascot, notableAlumna, Emma Tennant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emma Tennant
Context triple: [Heathfield School, Ascot, notableAlumna, Emma Tennant]
  • A. 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.
  • B. 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.
  • C. Tessa Menzies
    Tessa Menzies is a child of California politician and governor Gavin Newsom.
  • D. Hayley Roberts
    Hayley Roberts is a Welsh former shop assistant and model best known for being married to actor and singer David Hasselhoff.
  • E. Victoria Tennant
    Victoria Tennant is a British actress known for her work in film and television, including roles in "L.A. Story" and the miniseries "The Winds of War."
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Emma Tennant
Triple: [Heathfield School, Ascot, notableAlumna, Emma Tennant]
Generated description
Emma Tennant was a British novelist known for her experimental, often fantastical fiction and for reimagining classic literary works.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Emma Tennant
Target entity description: Emma Tennant was a British novelist known for her experimental, often fantastical fiction and for reimagining classic literary works.
  • A. 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.
  • B. 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.
  • C. Tessa Menzies
    Tessa Menzies is a child of California politician and governor Gavin Newsom.
  • D. Hayley Roberts
    Hayley Roberts is a Welsh former shop assistant and model best known for being married to actor and singer David Hasselhoff.
  • E. Victoria Tennant
    Victoria Tennant is a British actress known for her work in film and television, including roles in "L.A. Story" and the miniseries "The Winds of War."
  • F. None of above. chosen

Provenance (5 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_69d7bdeaf49c8190b13800111fa77ea3 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9610b91dc8190a9abefb88447b0ae completed April 10, 2026, 8:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e2588b448190b5dc5a5d37fd1897 completed May 3, 2026, 5:51 a.m.
NEDg Description generation batch_69f6e3fc6524819081fec59d7e31c816 completed May 3, 2026, 5:58 a.m.
NED2 Entity disambiguation (via description) batch_69f6e47b052c8190a6f6ca5a6bd210f5 completed May 3, 2026, 6 a.m.
Created at: April 9, 2026, 5:15 p.m.