Triple

T18759760
Position Surface form Disambiguated ID Type / Status
Subject Glenn Ligon E458738 entity
Predicate hasSurname P18 FINISHED
Object Ligon 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: Ligon | Statement: [Glenn Ligon, hasSurname, Ligon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ligon
Context triple: [Glenn Ligon, hasSurname, Ligon]
  • A. Ligon chosen
    Ligon is a surname most notably associated with Glenn Ligon, an American conceptual artist known for his text-based works exploring race, language, and identity.
  • B. Lundie
    Lundie is a small rural settlement in Angus, Scotland, situated near the Sidlaw Hills and known for its scenic countryside setting.
  • C. Rousas
    Rousas is the distinctive given name of R. J. Rushdoony, a prominent Christian theologian and leading figure in the Christian Reconstructionist movement.
  • D. Terling
    Terling is a small rural village and civil parish in the county of Essex in eastern England, known for its historic buildings and countryside setting.
  • E. Ritchson
    Ritchson is the surname of American actor, model, and filmmaker Alan Ritchson, known for roles in projects like "Reacher" and "Blue Mountain State."
  • 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_69d8d395dba0819087568404508590cb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e58d7db2f48190a4f1c5c9801fe180 completed April 20, 2026, 2:20 a.m.
Created at: April 10, 2026, 11:52 a.m.