Triple

T13610089
Position Surface form Disambiguated ID Type / Status
Subject "I'll Be There for You" E325164 entity
Predicate lyricist P1360 FINISHED
Object David Crane E325154 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: David Crane | Statement: ["I'll Be There for You", lyricist, David Crane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Crane
Context triple: ["I'll Be There for You", lyricist, David Crane]
  • A. David Crane
    David Crane is an American video game designer and programmer best known as a co-founder of Activision and creator of classic games like Pitfall!.
  • B. David Crane chosen
    David Crane is an American television writer and producer best known for co-creating the hit sitcom "Friends."
  • C. Michael Schur
    Michael Schur is an American television writer and producer best known for co-creating acclaimed comedy series such as Parks and Recreation, The Good Place, and Brooklyn Nine-Nine.
  • D. Brian Koppelman
    Brian Koppelman is an American screenwriter, director, and producer best known for co-writing films like "Rounders" and "Ocean's Thirteen" and co-creating the TV series "Billions."
  • E. Jason Katims
    Jason Katims is an American television writer, producer, and showrunner best known for creating character-driven dramas such as "Parenthood" and "Friday Night Lights."
  • 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_69d8076aae28819092cf636190ee5529 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb0aa9a1481908c6f92495aff86c6 completed April 12, 2026, 2:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0d96bc4819083f8b26dfdb3590f completed May 3, 2026, 9:40 p.m.
Created at: April 9, 2026, 9:50 p.m.