Triple

T15592362
Position Surface form Disambiguated ID Type / Status
Subject Henry Kolker E374776 entity
Predicate name P16 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: [Henry Kolker, name, Henry Kolker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Henry Kolker
Context triple: [Henry Kolker, name, 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. Louis Hollander
    Louis Hollander was a New York labor leader and public official who served as the state’s Industrial Commissioner, overseeing labor and employment policy.
  • C. 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.
  • D. Louis Gruenberg
    Louis Gruenberg was a 20th-century American composer and pianist known for his operas, film scores, and contributions to modern classical music.
  • E. Harry Kleiner
    Harry Kleiner was an American screenwriter known for his work on notable films such as the crime thriller "Bullitt."
  • 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_69d85cce25008190b13b52745fbd719b completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e5e43d48190a8fd367f13f1c7e1 completed April 16, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05e64fe7408190914a43f7c44872d7 completed May 14, 2026, 3:12 p.m.
Created at: April 10, 2026, 4:12 a.m.