Triple

T5732024
Position Surface form Disambiguated ID Type / Status
Subject Dogville E126405 entity
Predicate hasCastMember P2308 FINISHED
Object Philip Baker Hall E93114 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: Philip Baker Hall | Statement: [Dogville, hasCastMember, Philip Baker Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Philip Baker Hall
Context triple: [Dogville, hasCastMember, Philip Baker Hall]
  • A. Philip Baker Hall chosen
    Philip Baker Hall was an American character actor renowned for his intense, understated performances in films like "Magnolia," "Boogie Nights," and "Hard Eight," as well as memorable television roles including his iconic turn as library cop Lt. Bookman on "Seinfeld."
  • B. Ed Bullins
    Ed Bullins was an influential American playwright whose politically charged, experimental works made him a central voice in the Black Arts Movement of the 1960s and 1970s.
  • C. Mark Halliday
    Mark Halliday is a mystery writer and the lover of Margot Wendice who becomes entangled in her husband's murder plot in the play and film "Dial M for Murder."
  • D. Joel O’Brien
    Joel O’Brien is a musician known for his work featured on the album "Tapestry."
  • E. Bob Cole
    Bob Cole was a legendary Canadian sportscaster best known as the iconic play-by-play voice of NHL games on Hockey Night in Canada.
  • 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_69c0083082288190b7478cead6b5430a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02532fd308190a7434dd42a55e9ac completed March 22, 2026, 5:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a906e008190bd2b9a3481733f14 completed March 22, 2026, 9:09 p.m.
Created at: March 22, 2026, 3:47 p.m.