Triple

T8963473
Position Surface form Disambiguated ID Type / Status
Subject Robert Gardner E214066 entity
Predicate notableWork P4 FINISHED
Object Dead Birds E739290 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: Dead Birds | Statement: [Robert Gardner, notableWork, Dead Birds]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dead Birds
Context triple: [Robert Gardner, notableWork, Dead Birds]
  • A. Dead Birds chosen
    Dead Birds is a 1963 ethnographic documentary film by Robert Gardner that portrays the ritual warfare and daily life of the Dani people of New Guinea.
  • B. Dead Birds
    Dead Birds is a 2004 American horror film set during the Civil War, in which a group of Confederate deserters encounter terrifying supernatural forces after taking refuge in an abandoned plantation house.
  • C. Too Many Birds
    "Too Many Birds" is a contemplative indie folk song by Bill Callahan, noted for its sparse arrangement and poetic, introspective lyrics.
  • D. Killing Birds
    "Killing Birds" is a song featured on the album "Carry On."
  • E. The Bird
    The Bird is a famous oversized bronze bird sculpture by Colombian artist Fernando Botero, exemplifying his signature exaggerated, voluminous style.
  • 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_69ca839cd6008190a1546a701a56710c completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc674b06f08190b2d992674a093592 completed April 1, 2026, 12:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc9512eec8190963aa68108691f7f completed April 3, 2026, 2:06 p.m.
Created at: March 30, 2026, 7:01 p.m.