Triple

T22308461
Position Surface form Disambiguated ID Type / Status
Subject Clifford Allison E551448 entity
Predicate familyName P18 FINISHED
Object Allison NE NERFINISHED

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: Allison | Statement: [Clifford Allison, familyName, Allison]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Allison
Context triple: [Clifford Allison, familyName, Allison]
  • A. Allison chosen
    Allison is a common English-language surname of Scottish and Irish origin, often derived from "son of Alice" or "son of Alan."
  • B. Allison
    Allison is a key character in the film "Hocus Pocus," known as Max Dennison’s love interest and ally in battling the Sanderson sisters.
  • C. Allison
    Allison is a free-spirited, eccentric love interest played by Zooey Deschanel in the comedy film "Yes Man."
  • D. Allison
    Allison is the given first name of the fictional character Sonny Munroe from the Disney Channel series "Sonny with a Chance."
  • E. Allison Blake
    Allison Blake is a high-ranking government liaison and later head of Global Dynamics in the science-fiction TV series "Eureka," known for balancing bureaucratic oversight with genuine care for the town’s eccentric geniuses.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e46c0188190800181a4233f28fe completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1574c8a248190bf5eef5be78381fd completed April 29, 2026, 12:56 a.m.
Created at: April 16, 2026, 8:41 p.m.