Triple

T15674214
Position Surface form Disambiguated ID Type / Status
Subject Eliot Loudermilk E377394 entity
Predicate turningPointInPlot P71660 FINISHED
Object his firing demonstrates Frank Cross’s lack of empathy 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: his firing demonstrates Frank Cross’s lack of empathy | Statement: [Eliot Loudermilk, turningPointInPlot, his firing demonstrates Frank Cross’s lack of empathy]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: turningPointInPlot
Context triple: [Eliot Loudermilk, turningPointInPlot, his firing demonstrates Frank Cross’s lack of empathy]
  • A. turningPointIn
    Indicates that an event or situation serves as a decisive change or pivotal moment within a larger process, narrative, or development.
  • B. turningPointAgainst
    Indicates a pivotal moment or event that shifts momentum or advantage against a particular entity or side.
  • C. majorPlotPoint chosen
    Indicates that an event or development plays a central, pivotal role in the overall progression or outcome of the plot.
  • D. branchPoint
    Indicates a point in a process, structure, or path where a single preceding element splits into two or more alternative continuations or options.
  • E. interactionPoint
    Indicates a specific location or moment where two or more entities come into contact or engage with each other.
  • 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_69d85cd2e28481909d4e975bee20872f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04f2c996c8190a9ebe0e92608feaa completed April 16, 2026, 2:53 a.m.
PD Predicate disambiguation batch_69deda8b36a4819081cb5708fe77ef51 completed April 15, 2026, 12:23 a.m.
Created at: April 10, 2026, 4:16 a.m.