Triple

T12060770
Position Surface form Disambiguated ID Type / Status
Subject Alison Lohman E287162 entity
Predicate givenName P17 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: [Alison Lohman, givenName, Alison]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alison
Context triple: [Alison Lohman, givenName, Alison]
  • A. Alison chosen
    Alison is a feminine given name of English origin, commonly used in many English-speaking countries.
  • B. Alison
    Alison is a central character in Alan Garner's supernatural novel "The Owl Service," whose experiences drive the story's exploration of Welsh myth and identity.
  • C. Alison Grace
    Alison Grace is a film editor best known for her work on the family sports movie "Air Bud."
  • D. Allison
    Allison is a common English-language surname of Scottish and Irish origin, often derived from "son of Alice" or "son of Alan."
  • E. 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.
  • 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_69d6ab4780948190bdb9f7620c2ac27e completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9043dbccc8190bf9da181f826f0d8 completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a64c8bc8190920c1ed858ea4794 completed May 2, 2026, 2:29 p.m.
Created at: April 8, 2026, 9:48 p.m.