Triple

T5547331
Position Surface form Disambiguated ID Type / Status
Subject Enchanted E145439 entity
Predicate stars P1956 FINISHED
Object James Marsden E315697 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: James Marsden | Statement: [Enchanted, stars, James Marsden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: James Marsden
Context triple: [Enchanted, stars, James Marsden]
  • A. James Marsden chosen
    James Marsden is an American actor known for his roles in films like the X-Men series, Enchanted, and Hairspray, as well as prominent television work.
  • B. Angus Macfadyen
    Angus Macfadyen is a Scottish actor best known for his roles in films such as "Braveheart," "Equilibrium," and "Saw III," as well as numerous television appearances.
  • C. Ben Hardy
    Ben Hardy is an English actor best known for his roles in film and television, including portraying drummer Roger Taylor in the Queen biopic "Bohemian Rhapsody."
  • D. Taylor Kitsch
    Taylor Kitsch is a Canadian actor best known for his breakout role as Tim Riggins on the television series "Friday Night Lights" and for starring in films such as "John Carter" and "Lone Survivor."
  • E. Justin Long
    Justin Long is an American actor known for his comedic and romantic comedy roles in films like "Dodgeball," "Accepted," and the "I'm a Mac" Apple commercials.
  • 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_69c008fb879c81909f5bfa56fadc1d46 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01fe0244c8190aeb995f79f22a039 completed March 22, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0282ace308190a714685579f2a789 completed March 22, 2026, 5:34 p.m.
Created at: March 22, 2026, 3:35 p.m.