Triple

T20244451
Position Surface form Disambiguated ID Type / Status
Subject Stuart Bruce Greenwood E498384 entity
Predicate notableWork P4 FINISHED
Object The Post NE NERFINISHED

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 Post | Statement: [Stuart Bruce Greenwood, notableWork, The Post]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Post
Context triple: [Stuart Bruce Greenwood, notableWork, The Post]
  • A. The Post
    The Post is the independent student-run newspaper serving Ohio University and the Athens, Ohio community.
  • B. The Post chosen
    The Post is a 2017 historical political drama film directed by Steven Spielberg that chronicles The Washington Post’s decision to publish the Pentagon Papers, starring Meryl Streep and Tom Hanks.
  • C. Die Presse
    Die Presse is a prominent Austrian daily newspaper known for its high-quality, conservative-leaning journalism and coverage of national and international affairs.
  • D. 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.
  • E. The Paper
    The Paper is a 2000s-era film project that featured dialect coach and actress Cynthia Blaise among its creative contributors.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da6274c58c81909c646eabed6f4f30 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e673a10ab48190a408a5d2c2b0808b completed April 20, 2026, 6:42 p.m.
Created at: April 11, 2026, 11:40 p.m.