Triple

T6420568
Position Surface form Disambiguated ID Type / Status
Subject Paul Dano E127932 entity
Predicate notableWork P4 FINISHED
Object Looper E25530 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: Looper | Statement: [Paul Dano, notableWork, Looper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Looper
Context triple: [Paul Dano, notableWork, Looper]
  • A. Looper chosen
    Looper is a 2012 science-fiction action film directed by Rian Johnson, known for its time-travel premise and starring Joseph Gordon-Levitt and Bruce Willis.
  • B. Loop
    The Loop is Chicago’s central business district and downtown core, known for its dense cluster of skyscrapers, cultural institutions, and historic elevated train system.
  • C. Loop
    Loop is a Microsoft 365 collaborative workspace app that lets teams create, share, and co-edit dynamic content blocks in real time across Microsoft’s productivity tools.
  • D. Leap
    Leap is the second studio album by English singer-songwriter James Bay, showcasing his blend of soulful pop-rock and introspective songwriting.
  • E. Loopt
    Loopt was an early location-based social networking mobile app startup that allowed users to share their real-time location with friends.
  • 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_69c0083815208190a9b299b8e0640218 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c06902ddb48190bd5a8b5ecdf6c39e completed March 22, 2026, 10:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c640d5f6f88190963a1e59400c7aa0 completed March 27, 2026, 8:33 a.m.
Created at: March 22, 2026, 4:43 p.m.