Triple

T8534326
Position Surface form Disambiguated ID Type / Status
Subject Dan Hanley E202037 entity
Predicate notableWork P4 FINISHED
Object The Paper E84347 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 Paper | Statement: [Dan Hanley, notableWork, The Paper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Paper
Context triple: [Dan Hanley, notableWork, The Paper]
  • A. The Paper chosen
    The Paper is a 1994 American comedy-drama film directed by Ron Howard that follows the hectic, deadline-driven day at a New York City tabloid newspaper.
  • B. Mr. Papers
    Mr. Papers is a rapper best known for his on-and-off romantic relationship with hip-hop icon Lil' Kim.
  • C. The Morning Paper
    "The Morning Paper" is a song by indie musician Smog (Bill Callahan), featured on his 1997 album *Red Apple Falls*, known for its sparse arrangement and introspective, narrative lyrics.
  • D. The Print
    The Print is a renowned photography book by Ansel Adams that focuses on the art and technique of photographic printing and darkroom processes.
  • E. A Sheaf of Papers
    "A Sheaf of Papers" is a collection of essays and writings by American writer and wit Thomas Gold Appleton, reflecting his observations, humor, and literary style.
  • 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_69ca832355b08190b8b6a4ab4a4a3554 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe6a0ccd4819097b41d0dfb1c5018 completed March 31, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6d7aa3a881909bfdd3536dbc4ec7 completed April 2, 2026, 1:22 p.m.
Created at: March 30, 2026, 6:17 p.m.