Triple

T6229986
Position Surface form Disambiguated ID Type / Status
Subject Backspacer E139328 entity
Predicate hasSingle P3282 FINISHED
Object The Fixer E578051 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: The Fixer | Statement: [Backspacer, hasSingle, The Fixer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Fixer
Context triple: [Backspacer, hasSingle, The Fixer]
  • A. The Fixer chosen
    "The Fixer" is a 2009 rock song by Pearl Jam, known as the energetic lead single from their album *Backspacer*.
  • B. The Pawnbroker
    The Pawnbroker is a 1964 American drama film directed by Sidney Lumet, renowned for Rod Steiger’s powerful portrayal of a Holocaust survivor running a Harlem pawnshop.
  • C. The Salesman
    The Salesman is an acclaimed 2016 Iranian drama film directed by Asghar Farhadi that explores moral conflict and social tensions in contemporary Tehran.
  • D. Manhattan Transfer
    Manhattan Transfer is a modernist novel by John Dos Passos that portrays the fragmented, fast-paced life of early 20th-century New York City through a collage-like narrative style.
  • E. The Human Stain
    The Human Stain is a 2000 novel by Philip Roth that explores identity, race, and scandal in late-20th-century America through the downfall of a classics professor with a hidden past.
  • 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_69c008afd3148190b71e9eaa60420dd1 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062d9a33c8190b66dbd89e0e3bbba completed March 22, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c243f785dc819084d2a11151d84227 completed March 24, 2026, 7:57 a.m.
Created at: March 22, 2026, 4:22 p.m.