Triple

T4487370
Position Surface form Disambiguated ID Type / Status
Subject The Post E107275 entity
Predicate name P16 FINISHED
Object The Post E43652 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 Post | Statement: [The Post, name, The Post]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Post
Context triple: [The Post, name, The Post]
  • A. 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.
  • B. The Post
    The Post is the independent student-run newspaper serving Ohio University and the Athens, Ohio community.
  • 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 Paper
    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.
  • E. The Gray Lady
    The Gray Lady is a longstanding nickname for The New York Times, reflecting its reputation as a serious, authoritative, and traditional American newspaper.
  • 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_69bd43f84f788190a1383579c4a595be completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd52abddf88190b4fb09884ed62500 completed March 20, 2026, 1:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69bd67a31d0c819089954c8af4b1bdd6 completed March 20, 2026, 3:28 p.m.
Created at: March 20, 2026, 12:59 p.m.