Triple

T5294073
Position Surface form Disambiguated ID Type / Status
Subject The Man Who Wasn't There E119811 entity
Predicate starring P1507 FINISHED
Object Tony Shalhoub E76498 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: Tony Shalhoub | Statement: [The Man Who Wasn't There, starring, Tony Shalhoub]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tony Shalhoub
Context triple: [The Man Who Wasn't There, starring, Tony Shalhoub]
  • A. Tony Shalhoub chosen
    Tony Shalhoub is an American actor best known for his Emmy-winning portrayal of the obsessive-compulsive detective Adrian Monk in the television series "Monk."
  • B. Michael Shalhoub
    Michael Shalhoub is an American actor and the brother of Emmy-winning performer Tony Shalhoub.
  • C. Kelsey Grammer
    Kelsey Grammer is an American actor best known for his long-running, Emmy-winning portrayal of Dr. Frasier Crane on the sitcoms "Cheers" and "Frasier."
  • D. Paul Reiser
    Paul Reiser is an American actor, comedian, and writer best known for co-creating and starring in the 1990s sitcom "Mad About You" and for roles in films such as "Aliens" and "Diner."
  • E. Andre Braugher
    Andre Braugher is an American actor acclaimed for his powerful dramatic roles and his Emmy-winning performances in both television and film.
  • 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_69bd446f22b88190b6a47fb91c68a3e7 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd84f034f081908027a43120b6e122 completed March 20, 2026, 5:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf06f74a608190bdd52c75777dba5d completed March 21, 2026, 9 p.m.
Created at: March 20, 2026, 1:52 p.m.