Triple

T13610088
Position Surface form Disambiguated ID Type / Status
Subject "I'll Be There for You" E325164 entity
Predicate lyricist P1360 FINISHED
Object Marta Kauffman E325155 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: Marta Kauffman | Statement: ["I'll Be There for You", lyricist, Marta Kauffman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marta Kauffman
Context triple: ["I'll Be There for You", lyricist, Marta Kauffman]
  • A. Marta Kauffman chosen
    Marta Kauffman is an American television writer and producer best known as the co-creator of the hit sitcom "Friends."
  • B. Stacey Sher
    Stacey Sher is an American film and television producer known for her work on acclaimed movies such as "Django Unchained," "Pulp Fiction," and "Erin Brockovich."
  • C. Gillian Sankoff
    Gillian Sankoff is a sociolinguist renowned for her pioneering work on language variation and change, particularly in French and in multilingual communities such as Papua New Guinea.
  • D. Alison Leslie Gold
    Alison Leslie Gold is an American author best known for her works on Holocaust history and memory, including collaborations related to Anne Frank.
  • E. Lynne Benioff
    Lynne Benioff is an American philanthropist and civic leader known for her work in healthcare, education, and community initiatives, often in partnership with her husband, Salesforce CEO Marc Benioff.
  • 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_69f7c6f931048190ad5182a8c2ebecb6 completed May 3, 2026, 10:06 p.m.
Created at: April 9, 2026, 9:50 p.m.