Triple

T3194165
Position Surface form Disambiguated ID Type / Status
Subject Will Packer E66895 entity
Predicate notableWork P4 FINISHED
Object Obsessed E38396 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: Obsessed | Statement: [Will Packer, notableWork, Obsessed]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Obsessed
Context triple: [Will Packer, notableWork, Obsessed]
  • A. Obsessed chosen
    Obsessed is a 2009 psychological thriller film starring Idris Elba, Beyoncé, and Ali Larter about a successful executive whose life unravels when a temp employee becomes dangerously fixated on him.
  • B. Obsessed
    "Obsessed" is a 2009 R&B/pop single by Mariah Carey, known for its confrontational lyrics and catchy hook, widely interpreted as a response to rapper Eminem.
  • C. Obsessed
    Obsessed is a social media account or online persona that is followed by the user Cinco.
  • D. Obsession
    "Obsession" is a synth-pop single by American singer Sky Ferreira that helped introduce her dark, edgy pop aesthetic to a wider audience.
  • E. Obsession
    Obsession is a 1976 psychological thriller film directed by Brian De Palma, known for its Hitchcockian style, themes of guilt and identity, and Bernard Herrmann’s haunting score.
  • 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_69ad8588ba18819086a10951c32ecb80 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada714dbcc8190a7ad21b3c957f151 completed March 8, 2026, 4:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69b24bae63688190b2a1a1dba8b2cffa completed March 12, 2026, 5:14 a.m.
Created at: March 8, 2026, 3:07 p.m.