Triple

T13773922
Position Surface form Disambiguated ID Type / Status
Subject Iron Will E330951 entity
Predicate producer P490 FINISHED
Object Patrick Palmer E248605 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: Patrick Palmer | Statement: [Iron Will, producer, Patrick Palmer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Patrick Palmer
Context triple: [Iron Will, producer, Patrick Palmer]
  • A. Patrick Palmer chosen
    Patrick Palmer is a film producer best known for his work on the action-horror sequel "Blade II."
  • B. Lu Palmer
    Lu Palmer was a prominent African American journalist, political activist, and radio commentator in Chicago known for his advocacy for civil rights and Black political empowerment.
  • C. Philip Pugh
    Philip Pugh is a notable individual distinguished enough to be specifically recognized as a bearer of the surname Pugh.
  • D. Michael Palmer
    Michael Palmer is a former Singaporean politician who served as Speaker of Parliament before resigning from politics in 2012.
  • E. Michael Palmer
    Michael Palmer is an American poet known for his innovative, linguistically experimental work often associated with the Language poetry movement.
  • 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_69d81c583b0081909e408a17db517a21 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de023774b48190b19e43e87b94ba77 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7ce667c248190a9d0a0f1e9e228ae completed May 3, 2026, 10:38 p.m.
Created at: April 9, 2026, 10:10 p.m.