Triple

T13779374
Position Surface form Disambiguated ID Type / Status
Subject Burn Notice E331093 entity
Predicate mainProtagonistStatus P93885 FINISHED
Object burned spy 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: burned spy | Statement: [Burn Notice, mainProtagonistStatus, burned spy]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mainProtagonistStatus
Context triple: [Burn Notice, mainProtagonistStatus, burned spy]
  • A. mainProtagonist
    Indicates that the subject is the central character or primary focus in the narrative of the related work.
  • B. protagonistStatusAtStart
    Indicates the role or condition the main character is in at the beginning of the narrative or event.
  • C. hasProtagonist
    Indicates that a work of narrative has a main character who serves as its central focus or driving agent.
  • D. hasProtagonistCondition chosen
    Indicates that the main character in a narrative has a particular condition, state, or affliction.
  • E. hasSpiritProtagonist
    Indicates that the primary or central character in a narrative is a spirit or non-corporeal being.
  • 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_69d81c583b0081909e408a17db517a21 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0239cbfc81909064ac2457fdfff5 completed April 14, 2026, 9 a.m.
PD Predicate disambiguation batch_69dbbe97846c819093b00ea117b64e0d completed April 12, 2026, 3:47 p.m.
Created at: April 9, 2026, 10:11 p.m.