Triple

T21891501
Position Surface form Disambiguated ID Type / Status
Subject Lance Allred E540559 entity
Predicate familyName P18 FINISHED
Object Allred 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: Allred | Statement: [Lance Allred, familyName, Allred]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Allred
Context triple: [Lance Allred, familyName, Allred]
  • A. Allred chosen
    Allred is a surname of English origin borne by various notable individuals in fields such as politics, law, and entertainment.
  • B. Hardie Albright
    Hardie Albright was an American actor known for his work in early 20th-century film and television, including roles in classic genre productions.
  • C. Alpha M. Eldredge
    Alpha M. Eldredge was the wife of U.S. Senator and LDS Church apostle Reed Smoot and a prominent Latter-day Saint woman in early 20th-century Utah society.
  • D. Dagny Johnson
    Dagny Johnson was a prominent environmental activist known for her efforts to protect the natural habitats of the Florida Keys.
  • E. Adaline Bowman
    Adaline Bowman is the ageless woman at the center of the romantic fantasy film "The Age of Adaline," who stops aging after a mysterious accident and must navigate life and love while remaining eternally young.
  • 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_69e0c47a95908190ae3e19b716accb3d completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f11fc3727c8190b4d5d5a44aa2e55e completed April 28, 2026, 8:59 p.m.
Created at: April 16, 2026, 7:06 p.m.