Triple

T10252401
Position Surface form Disambiguated ID Type / Status
Subject Young Hare E240374 entity
Predicate title P38 FINISHED
Object Young Hare E240374 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: Young Hare | Statement: [Young Hare, title, Young Hare]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Young Hare
Context triple: [Young Hare, title, Young Hare]
  • A. Young Hare chosen
    Young Hare is a highly detailed and lifelike watercolor and gouache study of a hare created by German Renaissance artist Albrecht Dürer in 1502.
  • B. The Brown Bunny
    The Brown Bunny is a 2003 independent road drama film written, directed by, and starring Vincent Gallo, notorious for its explicit content and polarizing reception at the Cannes Film Festival.
  • C. The Hares
    The Hares is the nickname of March Town United F.C., an English football club based in March, Cambridgeshire.
  • D. Rabbit Remembered
    Rabbit Remembered is a novella by John Updike that serves as a coda to his acclaimed Rabbit Angstrom series, revisiting the characters’ lives after the death of its central protagonist.
  • E. The Rabbit Catcher
    The Rabbit Catcher is a poem by Sylvia Plath that starkly explores themes of entrapment, violence, and emotional betrayal within a natural landscape.
  • 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_69d381a7e198819090280d5ab885d59e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d23e39988190b75c6421b85d430d completed April 7, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f7c6aca08190b15e3790cad12532 completed April 9, 2026, 12:50 a.m.
Created at: April 6, 2026, 11:29 a.m.