Triple

T21039770
Position Surface form Disambiguated ID Type / Status
Subject Frank Sinatra as Major Bennett Marco E518289 entity
Predicate characterWarExperience P106748 FINISHED
Object Korean War veteran LITERAL 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: Korean War veteran | Statement: [Frank Sinatra as Major Bennett Marco, characterWarExperience, Korean War veteran]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: characterWarExperience
Context triple: [Frank Sinatra as Major Bennett Marco, characterWarExperience, Korean War veteran]
  • A. experienceCharacter
    Indicates that an entity undergoes or lives through the events, actions, or circumstances associated with a particular character.
  • B. experiencedByCharacter chosen
    Indicates that a particular event, situation, or emotion is undergone or lived through by a specific character.
  • C. commandExperience
    Indicates that an entity has experience or a track record in holding command or leadership roles over others.
  • D. settingOfExperience
    Indicates that a particular context, environment, or situation serves as the backdrop or circumstances in which an experience occurs.
  • E. experienceStyle
    Indicates that one entity has or is associated with a particular manner, approach, or style in which an experience is delivered or undergone.
  • F. None of above.

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_69e0b50438e08190917e2538bb8bc034 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fceed9148190903adb3b55f65242 completed April 21, 2026, 4:28 a.m.
PD Predicate disambiguation batch_69e5dbf6728881908a2a43a5c8804a2a completed April 20, 2026, 7:55 a.m.
Created at: April 16, 2026, 2:14 p.m.