Triple

T21490436
Position Surface form Disambiguated ID Type / Status
Subject Fair Game E530221 entity
Predicate hasCastMember P2308 FINISHED
Object Noah Emmerich 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: Noah Emmerich | Statement: [Fair Game, hasCastMember, Noah Emmerich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Noah Emmerich
Context triple: [Fair Game, hasCastMember, Noah Emmerich]
  • A. Noah Emmerich chosen
    Noah Emmerich is an American actor known for his character roles in film and television, particularly his acclaimed performance as FBI agent Stan Beeman in the series "The Americans."
  • B. Noah Hathaway
    Noah Hathaway is an American actor best known for his role as the young warrior Atreyu in the fantasy film "The NeverEnding Story" (1984).
  • C. Noah Chittenden
    Noah Chittenden was an American politician from Vermont, known for serving in the early state government and for being the son of Vermont’s first governor, Thomas Chittenden.
  • D. Noah Cross
    Noah Cross is a powerful and corrupt land baron who serves as the primary antagonist in the film "Chinatown."
  • E. Matthew Labyorteaux
    Matthew Labyorteaux is an American actor best known for his role as Albert Quinn Ingalls on the television series "Little House on the Prairie."
  • 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_69e0c45acc3881908e38d3f28964152b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea3aee648190ba845f0c7d8110dd completed April 23, 2026, 9:45 a.m.
Created at: April 16, 2026, 6:22 p.m.