Triple

T22212283
Position Surface form Disambiguated ID Type / Status
Subject Go E548980 entity
Predicate starring P1507 FINISHED
Object William Fichtner 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: William Fichtner | Statement: [Go, starring, William Fichtner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William Fichtner
Context triple: [Go, starring, William Fichtner]
  • A. William Fichtner chosen
    William Fichtner is an American character actor known for his intense, often villainous or morally complex roles in films such as "Heat," "Armageddon," and "Black Hawk Down," as well as the TV series "Prison Break."
  • B. Ben Stahl
    Ben Stahl is a notable individual recognized for achievements significant enough to distinguish him among others sharing the surname Stahl.
  • C. Jim Siedow
    Jim Siedow was an American character actor best known for playing the deranged cook Drayton Sawyer in the original "The Texas Chain Saw Massacre" and its sequel.
  • D. Mitchell Henry
    Mitchell Henry was a 19th-century British politician, businessman, and newspaper proprietor who played a key role in the early development of regional journalism in Manchester.
  • E. Peter Hermann
    Peter Hermann is an American actor and producer best known for his roles on television series such as "Law & Order: Special Victims Unit" and "Younger."
  • 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_69e11e3f7e04819089806d81d5ac431e completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12b2c8b608190b0047af4ac91b023 completed April 28, 2026, 9:48 p.m.
Created at: April 16, 2026, 8:36 p.m.