Triple

T14893766
Position Surface form Disambiguated ID Type / Status
Subject Warren Spahn E359815 entity
Predicate militaryAward P19685 FINISHED
Object Purple Heart E20461 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: Purple Heart | Statement: [Warren Spahn, militaryAward, Purple Heart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Purple Heart
Context triple: [Warren Spahn, militaryAward, Purple Heart]
  • A. Purple Heart chosen
    The Purple Heart is a United States military decoration awarded to service members who are wounded or killed in action against an enemy.
  • B. Silver Star Medal
    The Silver Star Medal is a high-level United States military decoration awarded for gallantry in action against an enemy of the United States.
  • C. Bronze Star Medal
    The Bronze Star Medal is a United States military decoration awarded for heroic or meritorious achievement or service in a combat zone.
  • D. Medalla Militar
    The Medalla Militar is a distinguished Spanish military decoration awarded for acts of exceptional valor and bravery in combat.
  • E. Medal of Honour
    The Medal of Honour is a Jamaican national decoration awarded for meritorious service or acts of gallantry.
  • 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_69d827980cbc8190a0c569ae3940a1d9 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69ded5f9d10c819091732d7a5a42a682 completed April 15, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe72b11584819084f32516cb0023a1 completed May 8, 2026, 11:33 p.m.
Created at: April 10, 2026, 2:10 a.m.