Triple

T19539484
Position Surface form Disambiguated ID Type / Status
Subject Irving Gertz E488856 entity
Predicate notableWork P4 FINISHED
Object The Purple Heart NE NERFINISHED

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: The Purple Heart | Statement: [Irving Gertz, notableWork, The Purple Heart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Purple Heart
Context triple: [Irving Gertz, notableWork, The Purple Heart]
  • A. The Purple Heart chosen
    The Purple Heart is a 1944 American World War II drama film depicting the trial of captured U.S. airmen by the Japanese after the Doolittle Raid.
  • B. Purple Heart
    The Purple Heart is a United States military decoration awarded to service members who are wounded or killed in action against an enemy.
  • C. Medalla Militar
    The Medalla Militar is a distinguished Spanish military decoration awarded for acts of exceptional valor and bravery in combat.
  • D. 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.
  • 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 (2 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_69d8e8db5b6c8190984b61f91981f575 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63871d00881909ed7371ae5577957 completed April 20, 2026, 2:30 p.m.
Created at: April 10, 2026, 1:41 p.m.