Triple

T15761261
Position Surface form Disambiguated ID Type / Status
Subject Too Good at Goodbyes E382100 entity
Predicate associatedAct P37 FINISHED
Object Jimmy Napes E78220 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: Jimmy Napes | Statement: [Too Good at Goodbyes, associatedAct, Jimmy Napes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jimmy Napes
Context triple: [Too Good at Goodbyes, associatedAct, Jimmy Napes]
  • A. Jimmy Napes chosen
    Jimmy Napes is a British songwriter and record producer best known for his collaborations with artists like Sam Smith and Disclosure on numerous award-winning pop and electronic hits.
  • B. Pete Woodhead
    Pete Woodhead is a composer best known for co-creating the soundtrack to the British zombie comedy film "Shaun of the Dead."
  • C. Jack Shampan
    Jack Shampan was a British art director and production designer known for his work on films such as the comedy "Carry On Cleo."
  • D. Pete Drummond
    Pete Drummond is a musician best known as the drummer for the British progressive rock band Dragon.
  • E. Nico Reilly
    Nico Reilly is a high-powered magazine editor and one of the three ambitious, glamorous protagonists navigating career, friendship, and romance in the TV series "Lipstick Jungle."
  • 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e050b52c548190a0ffa4493a4eb15c completed April 16, 2026, 3 a.m.
NED1 Entity disambiguation (via context triple) batch_6a000ec1091c8190a8e4c4db6180129a completed May 10, 2026, 4:51 a.m.
Created at: April 10, 2026, 4:47 a.m.