Triple

T28520237
Position Surface form Disambiguated ID Type / Status
Subject Seeks help for Melinda Moores’s brain tumor E721741 entity
Predicate hasCauseInStory P122823 FINISHED
Object Melinda Moores’s inoperable brain tumor 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: Melinda Moores’s inoperable brain tumor | Statement: [Seeks help for Melinda Moores’s brain tumor, hasCauseInStory, Melinda Moores’s inoperable brain tumor]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCauseInStory
Context triple: [Seeks help for Melinda Moores’s brain tumor, hasCauseInStory, Melinda Moores’s inoperable brain tumor]
  • A. hasCauseNarrative
    Indicates that one entity provides a narrative or explanatory account of the cause or causal background of another entity or event.
  • B. hasFateInStory
    Indicates that an entity is assigned a particular destiny, outcome, or ultimate role within the narrative of a story.
  • C. causeInStory chosen
    Indicates that one event, action, or state functions as the cause of another within the narrative structure of a story.
  • D. hasLeaderInStory
    Indicates that one entity serves as the leader of another entity within the context of a specific story or narrative.
  • E. hasTimeInStory
    Indicates that a story element, event, or entity occurs or is present during a specific time or time interval within the narrative.
  • 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_69f01a5cbcc4819083fb4e723378713e completed April 28, 2026, 2:24 a.m.
NER Named-entity recognition batch_69fcdf2394748190b35cead3e208447d completed May 7, 2026, 6:51 p.m.
PD Predicate disambiguation batch_69fcdbe344ec8190a0471911952f4b82 completed May 7, 2026, 6:37 p.m.
Created at: April 28, 2026, 3:20 a.m.