Triple

T6427233
Position Surface form Disambiguated ID Type / Status
Subject The Black Room E128089 entity
Predicate starring P1507 FINISHED
Object Henry Kolker E374776 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: Henry Kolker | Statement: [The Black Room, starring, Henry Kolker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Henry Kolker
Context triple: [The Black Room, starring, Henry Kolker]
  • A. Henry Kolker chosen
    Henry Kolker was an American stage and film actor and director active in the early 20th century, known for his character roles in both silent and sound films.
  • B. Leon Feldhendler
    Leon Feldhendler was a Polish Jewish resistance leader and Holocaust survivor best known for co-organizing the 1943 prisoner uprising at the Sobibor extermination camp.
  • C. Harry Kleiner
    Harry Kleiner was an American screenwriter known for his work on notable films such as the crime thriller "Bullitt."
  • D. Henry Baerer
    Henry Baerer was a German-American sculptor known for creating notable public monuments and statues in the United States during the late 19th century.
  • E. David Kirschner
    David Kirschner is an American film and television producer best known for creating the Child’s Play/Chucky franchise and producing popular genre films such as Hocus Pocus.
  • 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_69c00838de888190af2eec0b80495efa completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c06920cef48190a884df8f12987a0d completed March 22, 2026, 10:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c870539eb08190936adcfbab395654 completed March 29, 2026, 12:20 a.m.
Created at: March 22, 2026, 4:44 p.m.