Triple

T22427207
Position Surface form Disambiguated ID Type / Status
Subject Silver Linings E554401 entity
Predicate creator P184 FINISHED
Object Ted Tally 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: Ted Tally | Statement: [Silver Linings, creator, Ted Tally]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ted Tally
Context triple: [Silver Linings, creator, Ted Tally]
  • A. Ted Tally chosen
    Ted Tally is an American screenwriter and playwright best known for his Academy Award–winning adaptation of "The Silence of the Lambs."
  • B. Dick Tufeld
    Dick Tufeld was an American voice actor best known as the iconic voice of the Robot in the classic television series "Lost in Space."
  • C. Tom Tully
    Tom Tully was an American character actor known for his prolific work in mid-20th-century film and television, often portraying gruff but sympathetic authority figures.
  • D. Tom Sully
    Tom Sully is the deceased twin brother of Jake Sully in the film "Avatar," whose death leads Jake to take his place in the Avatar Program.
  • E. Nick Talman
    Nick Talman is the ambitious young tech entrepreneur protagonist of the television series "StartUp," who becomes entangled in the criminal underworld while trying to build a revolutionary digital currency company.
  • 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_69e11e4f2d0c819091aa3558ea2ee630 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15a2e438481908d43026727afa709 completed April 29, 2026, 1:09 a.m.
Created at: April 16, 2026, 8:47 p.m.