Triple

T14713491
Position Surface form Disambiguated ID Type / Status
Subject Asa Butterfield E345615 entity
Predicate notableWork P4 FINISHED
Object Time Freak E807684 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: Time Freak | Statement: [Asa Butterfield, notableWork, Time Freak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Time Freak
Context triple: [Asa Butterfield, notableWork, Time Freak]
  • A. Time Freak chosen
    Time Freak is a 2018 sci-fi romantic comedy film about a young physics prodigy who builds a time machine to fix his failed relationship, starring Asa Butterfield and Sophie Turner.
  • B. The Freak
    The Freak is the nickname of Tim Lincecum, a former San Francisco Giants pitcher known for his dominant performances, unorthodox delivery, and multiple Cy Young Awards.
  • C. Time Warp
    "Time Warp" is a cult-classic rock musical number from *The Rocky Horror Picture Show*, famous for its quirky dance moves and frequent use in pop culture.
  • D. Freak
    "Freak" is a track from Cam'ron's 2002 hip-hop album "Come Home with Me," known for its explicit lyrics and club-oriented production.
  • E. Time Patrol
    Time Patrol is a classic science fiction series by Poul Anderson about an organization that travels through time to preserve the integrity of history.
  • 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_69d822e4a8c08190a155df736bb7bc13 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb982bf248190881e21a8a0861a3f completed April 14, 2026, 10:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf08f2aa08190a5ac3240d1de90fb completed May 8, 2026, 2:17 p.m.
Created at: April 10, 2026, 1:29 a.m.