Triple

T4171287
Position Surface form Disambiguated ID Type / Status
Subject Digital Domain E84567 entity
Predicate notableWork P4 FINISHED
Object Deadpool E169776 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: Deadpool | Statement: [Digital Domain, notableWork, Deadpool]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Deadpool
Context triple: [Digital Domain, notableWork, Deadpool]
  • A. Deadpool chosen
    Deadpool is a popular Marvel Comics antihero known for his dark humor, constant fourth-wall breaking, and ultra-violent, self-aware adventures.
  • B. Deadpool 2
    Deadpool 2 is a 2018 superhero action-comedy film based on the Marvel Comics character Deadpool, known for its irreverent humor, graphic violence, and self-aware parody of the genre.
  • C. Logan
    Logan is a name commonly used as both a given name and surname in English-speaking countries.
  • D. Logan
    Logan is a small village in eastern New Mexico, United States, known for its proximity to Ute Lake and its role as a local recreational and service hub in Quay County.
  • E. Logan
    Logan is a 2017 superhero film in the X-Men franchise that follows an aging Wolverine on a violent, character-driven road journey in a bleak near-future.
  • 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_69aed932cab48190b80ffe35f7029ae1 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af02c9e12c81908d0b22671fea2453 completed March 9, 2026, 5:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69b57f4ef1a08190a232ed94595a86e8 completed March 14, 2026, 3:31 p.m.
Created at: March 9, 2026, 3:45 p.m.