Triple

T12066321
Position Surface form Disambiguated ID Type / Status
Subject Laurie E287305 entity
Predicate givenName P17 FINISHED
Object Theodore E55214 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: Theodore | Statement: [Laurie, givenName, Theodore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Theodore
Context triple: [Laurie, givenName, Theodore]
  • A. Theodore chosen
    Theodore is a masculine given name of Greek origin, meaning "gift of God," from which the nickname Ted is derived.
  • B. Theodore Reeves
    Theodore Reeves was a screenwriter best known for his work on classic Hollywood films, including the beloved horse-racing drama "National Velvet."
  • C. Benjamin
    Benjamin is the full given name of the English playwright and poet Ben Jonson, a major literary figure of the early 17th century.
  • D. Benjamin
    Benjamin is the given first name of the American film producer and studio executive B. P. Schulberg.
  • E. Benjamin
    Benjamin is the given name of Benjamin Breckinridge Warfield, a prominent American Presbyterian theologian and professor at Princeton Theological Seminary in the late 19th and early 20th centuries.
  • 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_69d6ab4846e081908ee7bbd66a6d3459 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d904423dc08190a47194422255c62e completed April 10, 2026, 2:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f658bb38819097547d392fcc5405 completed May 2, 2026, 1:04 p.m.
Created at: April 8, 2026, 9:48 p.m.