Triple

T35986256
Position Surface form Disambiguated ID Type / Status
Subject Prime (Counterpart) E1040717 entity
Predicate sharesBackstoryDivergencePointWith P202391 FINISHED
Object Howard Silk (Alpha) NE NERFINISHED

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: Howard Silk (Alpha) | Statement: [Prime (Counterpart), sharesBackstoryDivergencePointWith, Howard Silk (Alpha)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: sharesBackstoryDivergencePointWith
Context triple: [Prime (Counterpart), sharesBackstoryDivergencePointWith, Howard Silk (Alpha)]
  • A. followsInDivergence
    Indicates that one entity comes after another specifically within a divergent or branching sequence, path, or process.
  • B. hasDivergence
    Indicates that there is a difference, deviation, or separation between two otherwise related entities, states, or paths.
  • C. historicallyDiscussedBy
    Indicates that the subject has been a topic of discussion, analysis, or commentary by the specified person or group in a historical context.
  • D. historicallyMetAt
    Indicates that two entities met or were present together at a specific place during a past historical time or event.
  • E. divergenceTime
    Indicates the point in time at which two entities, lineages, or states split from a common origin or began to differ from each other.
  • F. None of above. chosen

Provenance (4 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_69f76e28293c8190ae3f4e2208b87117 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_6a007899cadc8190a04edd503eaf6514 completed May 10, 2026, 12:22 p.m.
PD Predicate disambiguation batch_6a0078493e088190b0c5047cbe75d304 completed May 10, 2026, 12:21 p.m.
PDg Predicate description generation batch_6a00789927708190b031d3a9d5f4f68e completed May 10, 2026, 12:22 p.m.
Created at: May 3, 2026, 4:07 p.m.