Triple

T15354836
Position Surface form Disambiguated ID Type / Status
Subject Music and Lyrics E367144 entity
Predicate mainCharacter P1183 FINISHED
Object Alex Fletcher E720286 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: Alex Fletcher | Statement: [Music and Lyrics, mainCharacter, Alex Fletcher]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alex Fletcher
Context triple: [Music and Lyrics, mainCharacter, Alex Fletcher]
  • A. Alex Fletcher chosen
    Alex Fletcher is a washed-up 1980s pop star who attempts a career comeback by writing a hit song with an unlikely lyricist in the romantic comedy film "Music and Lyrics."
  • B. Don Fletcher
    Don Fletcher is a writer best known for his work on the song "Dancing Machine."
  • C. Jason Flemyng
    Jason Flemyng is an English actor known for his character roles in films such as "Lock, Stock and Two Smoking Barrels," "Snatch," and various Hollywood and British productions.
  • D. Nick Fletcher
    Nick Fletcher is a cinematographer best known for his work on the animated film "Bee Movie."
  • E. Nick Fletcher
    Nick Fletcher is a film editor best known for his work on animated features, including serving as an editor on the movie "Bee Movie."
  • 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_69d85a1355608190a6673ddb67231d54 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e2a8e88819093e4b7479b2c80cd completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff01ff42d48190897e6653d2b4f8a4 completed May 9, 2026, 9:44 a.m.
Created at: April 10, 2026, 3:18 a.m.