Triple

T14286898
Position Surface form Disambiguated ID Type / Status
Subject Lucy Saxon shoots the Master E354197 entity
Predicate hasCharacterStatusChange P107352 FINISHED
Object the Master dies 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: the Master dies | Statement: [Lucy Saxon shoots the Master, hasCharacterStatusChange, the Master dies]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCharacterStatusChange
Context triple: [Lucy Saxon shoots the Master, hasCharacterStatusChange, the Master dies]
  • A. marksStatusChangeForCharacter chosen
    Indicates a point or event that signifies a change in a character’s status or state within a system or narrative.
  • B. hasCurrentCharacter
    Indicates that an entity is associated with or possesses a specific character that is currently active or in use.
  • C. hasCharacterPresence
    Indicates that a particular character appears or is present within a specified context, such as a scene, work, or medium.
  • D. statusChange
    Indicates a transition in an entity’s state or condition from one status to another over time.
  • E. hasChronologyStatus
    Indicates the temporal or sequential status of something within a chronology, such as whether its position or order in time is known, uncertain, or otherwise classified.
  • 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_69d8278e17088190b328c5a9d4be74ff completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de697ef40c8190bea37724b28c2e99 completed April 14, 2026, 4:21 p.m.
PD Predicate disambiguation batch_69de2a88446481909cd526da97a3b70f completed April 14, 2026, 11:52 a.m.
Created at: April 10, 2026, 1:11 a.m.