Triple

T10366209
Position Surface form Disambiguated ID Type / Status
Subject In the Loop E244256 entity
Predicate stars P1956 FINISHED
Object Tom Hollander E50191 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: Tom Hollander | Statement: [In the Loop, stars, Tom Hollander]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tom Hollander
Context triple: [In the Loop, stars, Tom Hollander]
  • A. Tom Hollander chosen
    Tom Hollander is an English actor known for his versatile performances in film, television, and theatre, including roles in "In the Loop," "Pride & Prejudice," and the series "Rev."
  • B. Tom Holland
    Tom Holland is an English actor best known for portraying Spider-Man in the Marvel Cinematic Universe and for roles in films such as "The Impossible" and "The Lost City of Z."
  • C. Tom Holland
    Tom Holland is an American filmmaker and screenwriter best known for writing and directing influential horror films such as "Fright Night" (1985) and "Child's Play" (1988).
  • D. Andrew Garfield
    Andrew Garfield is an acclaimed British-American actor known for roles in films such as "The Social Network" and "The Amazing Spider-Man" series.
  • E. Robert Downey Jr.
    Robert Downey Jr. is an acclaimed American actor best known for his charismatic performances in films such as the Iron Man and Avengers series, as well as his critically lauded dramatic roles.
  • 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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e96f25f48190a41c8b0206b9238c completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d87e64109881908c42a4fbcfd057be completed April 10, 2026, 4:36 a.m.
Created at: April 6, 2026, noon