Triple

T36879300
Position Surface form Disambiguated ID Type / Status
Subject Rick Mason E911428 entity
Predicate relationshipWithNatashaRomanoff P205098 FINISHED
Object professional ally — 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: professional ally | Statement: [Rick Mason, relationshipWithNatashaRomanoff, professional ally]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: relationshipWithNatashaRomanoff
Context triple: [Rick Mason, relationshipWithNatashaRomanoff, professional ally]
  • A. roleInAvengersInfinityWar
    Indicates that an entity has a specific role or appearance in the movie "Avengers: Infinity War."
  • B. relationshipToWolverine
    Indicates the specific interpersonal or familial connection an entity has with Wolverine.
  • C. roleRelativeToBlackPanther
    Indicates the specific narrative or functional role an entity has in relation to Black Panther (e.g., ally, enemy, family member, or other contextual position).
  • D. relationshipToThemyscira
    Indicates the nature or type of connection an entity has to Themyscira, such as origin, affiliation, or other relational ties.
  • E. relationshipToMarvelUniverse
    Indicates the nature or type of connection an entity has to the Marvel universe, such as affiliation, role, or relevance within that fictional setting.
  • 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_69f76e82339881909607a65c0503d941 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_6a037cad051c8190b28b354b89208574 completed May 12, 2026, 7:17 p.m.
PD Predicate disambiguation batch_6a037a0e039481908a4a2666f76c5363 completed May 12, 2026, 7:05 p.m.
PDg Predicate description generation batch_6a037c82f8c88190bd77a086023ac0e1 completed May 12, 2026, 7:16 p.m.
Created at: May 3, 2026, 4:13 p.m.