Triple

T5865856
Position Surface form Disambiguated ID Type / Status
Subject Pat Tillman E130389 entity
Predicate hasAward P219 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: [Pat Tillman, hasAward, Purple Heart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Purple Heart
Context triple: [Pat Tillman, hasAward, 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. Virtuti Militari
    Virtuti Militari is Poland’s highest military decoration for valor in the face of the enemy, awarded for exceptional bravery and leadership in combat.
  • 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_69c0085047dc8190af24e311edad3c07 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c035bfa8188190ab0e28101fdf5e6f completed March 22, 2026, 6:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a1c3a69881908ffeee1ddbeb8618 completed March 23, 2026, 2:13 a.m.
Created at: March 22, 2026, 3:56 p.m.