Triple

T9034478
Position Surface form Disambiguated ID Type / Status
Subject Terence Alexander E216456 entity
Predicate name P16 FINISHED
Object Terence Alexander E216456 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: Terence Alexander | Statement: [Terence Alexander, name, Terence Alexander]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Terence Alexander
Context triple: [Terence Alexander, name, Terence Alexander]
  • A. Terence Alexander chosen
    Terence Alexander was a British character actor best known for his suave, upper-class roles in film and television, including his long-running part as Charlie Hungerford in the series "Bergerac."
  • B. Terence Dudley
    Terence Dudley was a British television producer, director, and writer best known for his work on science fiction series such as Doctor Who and its spin-offs.
  • C. Terence Morgan
    Terence Morgan was a British actor best known for his film and television roles in the mid-20th century, often portraying suave or villainous characters.
  • D. Philip Terry
    Philip Terry was an American film and television actor active from the 1930s to the 1960s, known for his supporting roles in Hollywood dramas and thrillers.
  • E. Terry Fisher
    Terry Fisher is a soccer coach best known for managing the Los Angeles Aztecs in the North American Soccer League.
  • 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_69ca83d10b608190b2b2f8e0a7faaf14 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc6abf4af481908d21245332329d99 completed April 1, 2026, 12:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfdbce352c8190b5862d0cc103bfdb completed April 3, 2026, 3:25 p.m.
Created at: March 30, 2026, 7:08 p.m.