Triple

T34641988
Position Surface form Disambiguated ID Type / Status
Subject Harrison Ford as Dr. Norman Spencer E889584 entity
Predicate fieldInStory P180758 FINISHED
Object researchScientist 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: researchScientist | Statement: [Harrison Ford as Dr. Norman Spencer, fieldInStory, researchScientist]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: fieldInStory
Context triple: [Harrison Ford as Dr. Norman Spencer, fieldInStory, researchScientist]
  • A. fieldOfNarrative
    Indicates that a narrative (such as a story, account, or discourse) is situated within or pertains to a particular field, domain, or area of knowledge or activity.
  • B. storyElement
    Indicates that one entity functions as a narrative component or part within the structure of another entity’s story.
  • C. appearsInShortStoryBy
    Indicates that one entity is a character, element, or subject that appears within a short story authored by another entity.
  • D. positionInStory
    Indicates the point or role an event, character, or element occupies within the overall sequence or structure of a story.
  • E. frameStoryCharacters
    Indicates that one or more characters participate in or are involved in the narrative frame of a story (the outer or framing narrative).
  • 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_69f349d724848190b63ad3407e0006d9 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f74c70fd248190a9d5543afcb08211 completed May 3, 2026, 1:24 p.m.
PD Predicate disambiguation batch_69f7478e3b548190a51d5d436e2bb036 completed May 3, 2026, 1:03 p.m.
PDg Predicate description generation batch_69f74c6fa6548190b03935f65429a24e completed May 3, 2026, 1:23 p.m.
Created at: May 1, 2026, 2:04 a.m.