Triple

T22146022
Position Surface form Disambiguated ID Type / Status
Subject Grace Margaret Mulligan E547289 entity
Predicate hasDialogueWith P12142 FINISHED
Object Chuck 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: Chuck | Statement: [Grace Margaret Mulligan, hasDialogueWith, Chuck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chuck
Context triple: [Grace Margaret Mulligan, hasDialogueWith, Chuck]
  • A. Chuck
    Chuck is an American action-comedy television series that blends spy drama with workplace humor, centered on an ordinary computer geek who accidentally becomes a government asset.
  • B. Chuck chosen
    Chuck is a common diminutive form of the given name Charles, often used as a familiar or informal nickname.
  • C. Charlie
    Charlie is the given name of the British philosopher and Cambridge academic C. D. Broad.
  • D. Charlie
    "Charlie" is a song by the Red Hot Chili Peppers from their double album "Stadium Arcadium," blending funk-influenced rock with introspective lyrics.
  • E. Charlie
    Charlie is a central character in the indie film "Happythankyoumoreplease," portrayed as a young New Yorker navigating relationships, personal growth, and the search for meaning.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e3a95d88190a3bd80d9471976c3 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129f097248190a8a3cdff1593b5b5 completed April 28, 2026, 9:43 p.m.
Created at: April 16, 2026, 8:33 p.m.