Triple

T14507771
Position Surface form Disambiguated ID Type / Status
Subject Ed Oxenbould E340309 entity
Predicate notableWork P4 FINISHED
Object Better Watch Out E1007184 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: Better Watch Out | Statement: [Ed Oxenbould, notableWork, Better Watch Out]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Better Watch Out
Context triple: [Ed Oxenbould, notableWork, Better Watch Out]
  • A. Better Watch Out chosen
    Better Watch Out is a 2016 darkly comedic horror-thriller film about a babysitting night that turns violently twisted during an apparent home invasion.
  • B. Watch Out
    "Watch Out" is a track from the soundtrack of the horror film franchise "Scream," contributing to its tense and suspenseful atmosphere.
  • C. Watch Out
    "Watch Out" is a song featured on the album "Blame the Vain" by American country musician Dwight Yoakam.
  • D. Watch Out
    "Watch Out" is a popular hip-hop single by American rapper 2 Chainz, known for its catchy hook and club-oriented production.
  • E. Watching Out
    "Watching Out" is a non-fiction book by Australian barrister and human rights advocate Julian Burnside, in which he reflects on justice, civil liberties, and the treatment of refugees in contemporary Australia.
  • 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_69d822d9c0408190b9a2b3643e58bb4d completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69de94e40e44819084f323f8f9982b75 completed April 14, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6da07ff481909fb2463b0ea92849 completed May 8, 2026, 4:59 a.m.
Created at: April 10, 2026, 1:21 a.m.