Triple

T6491882
Position Surface form Disambiguated ID Type / Status
Subject Joan Alison E148058 entity
Predicate hasFamilyName P18 FINISHED
Object Alison E136320 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: Alison | Statement: [Joan Alison, hasFamilyName, Alison]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alison
Context triple: [Joan Alison, hasFamilyName, Alison]
  • A. Alison chosen
    Alison is a feminine given name of English origin, commonly used in many English-speaking countries.
  • B. Alison Grace
    Alison Grace is a film editor best known for her work on the family sports movie "Air Bud."
  • C. Allison
    Allison is a common English-language surname of Scottish and Irish origin, often derived from "son of Alice" or "son of Alan."
  • D. Annalise
    Annalise is a minor but pivotal character in John le Carré’s espionage novel "Smiley’s People," involved in the intricate web of intelligence and personal relationships surrounding George Smiley.
  • E. Alison Lockhart
    Alison Lockhart is a central character in the television drama series "The Affair," known for her complex emotional journey and pivotal role in the show's intertwined relationships and perspectives.
  • 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_69c009088f3081909cd467b05919de30 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06a9bf9208190b0957eda06ed3d65 completed March 22, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c653bcb63081908be29abd0084d266 completed March 27, 2026, 9:54 a.m.
Created at: March 22, 2026, 4:53 p.m.