Triple

T3558031
Position Surface form Disambiguated ID Type / Status
Subject Thomas Teller E75266 entity
Predicate networkOfSeries P8714 FINISHED
Object FX E69019 NE 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: FX | Statement: [Thomas Teller, networkOfSeries, FX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FX
Context triple: [Thomas Teller, networkOfSeries, FX]
  • A. FX chosen
    FX is an American cable television network known for airing edgy, critically acclaimed original series and dramas.
  • B. FIN
    FIN is the commonly used abbreviation for the Department of Finance Canada, the federal government department responsible for developing economic, fiscal, and tax policy.
  • C. FIN
    FIN is the three-letter ISO 3166-1 alpha-3 country code that uniquely identifies Finland in international standards and data systems.
  • D. Fin
    Fin is the debut solo studio album by American singer, songwriter, and producer Syd tha Kyd, known for its smooth blend of R&B, neo-soul, and alternative hip-hop.
  • E. FX2
    FX2 is a 1991 action-thriller film and sequel to the movie "F/X," starring Brian Dennehy and Bryan Brown as they again use movie special-effects skills to outwit criminals.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ad85d45090819086f34fb85d850a1e completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc086e6688190b90ae356e18b953e completed March 8, 2026, 6:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4daf2b170819095a337246675e4c4 completed March 14, 2026, 3:50 a.m.
Created at: March 8, 2026, 3:20 p.m.