Triple

T14929914
Position Surface form Disambiguated ID Type / Status
Subject Rob Corddry E372232 entity
Predicate notableWork P4 FINISHED
Object The Unicorn E1084901 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: The Unicorn | Statement: [Rob Corddry, notableWork, The Unicorn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Unicorn
Context triple: [Rob Corddry, notableWork, The Unicorn]
  • A. The Unicorn
    "The Unicorn" is a whimsical folk song, popularized by The Irish Rovers, that humorously tells the story of how unicorns missed boarding Noah’s Ark.
  • B. The Unicorn chosen
    The Unicorn is an independent comedy film known for its offbeat exploration of modern relationships and commitment.
  • C. The Unicorn
    The Unicorn is an American television sitcom that follows a widowed father navigating single parenthood and dating, known for its heartfelt humor and ensemble cast.
  • D. The White Unicorn
    The White Unicorn is a British film featuring actress Moira Lister in a prominent role.
  • E. The Black Unicorn
    The Black Unicorn is a seminal 1978 poetry collection by Audre Lorde that explores Black womanhood, identity, and mythology through powerful, lyrical verse.
  • 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_69d85cc9da0c81908d583ca3f63a3908 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded64550dc8190ba44120df00ba498 completed April 15, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe72c728948190a1cfc62f4038b6ec completed May 8, 2026, 11:33 p.m.
Created at: April 10, 2026, 2:36 a.m.