Triple

T492764
Position Surface form Disambiguated ID Type / Status
Subject Rocky E10224 entity
Predicate writer P1360 FINISHED
Object Sylvester Stallone E10225 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: Sylvester Stallone | Statement: [Rocky, writer, Sylvester Stallone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sylvester Stallone
Context triple: [Rocky, writer, Sylvester Stallone]
  • A. Sylvester Stallone chosen
    Sylvester Stallone is an American actor, filmmaker, and screenwriter best known for creating and starring in the iconic "Rocky" and "Rambo" film franchises.
  • B. Liam Neeson
    Liam Neeson is an Irish actor renowned for his powerful performances in dramas and action films, including roles in "Schindler's List," "Taken," and "Star Wars: Episode I – The Phantom Menace."
  • C. Bob Hoskins
    Bob Hoskins was an acclaimed English actor known for his intense, often gritty performances in films such as "The Long Good Friday," "Mona Lisa," and "Who Framed Roger Rabbit."
  • D. Warren Beatty
    Warren Beatty is an acclaimed American actor, director, producer, and screenwriter known for influential films such as "Bonnie and Clyde," "Reds," and "Heaven Can Wait."
  • E. James Woods
    James Woods is an American actor known for his intense performances in film and television, including acclaimed roles in movies such as "Salvador," "Videodrome," and "Casino."
  • 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_69a2e847df8481909239ec08ccf1e376 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f0faab4881909f65f172198b5bd2 completed Feb. 28, 2026, 1:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4778126a081909cd49d1274d746e3 completed March 1, 2026, 5:29 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.