Triple

T14681367
Position Surface form Disambiguated ID Type / Status
Subject Vanessa Marquez E344793 entity
Predicate notableWork P4 FINISHED
Object Wanted E904762 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: Wanted | Statement: [Vanessa Marquez, notableWork, Wanted]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wanted
Context triple: [Vanessa Marquez, notableWork, Wanted]
  • A. Wanted
    Wanted is a violent, darkly comedic comic book miniseries written by Mark Millar that subverts superhero tropes by following a young man’s induction into a secret society of supervillains.
  • B. Wanted
    "Wanted" is a 2005 hip hop single by American rapper Bow Wow, known for its catchy production and chart success during his transition from teen star to more mature artist.
  • C. Wanted
    "Wanted" is a 2015 Afrobeat and R&B studio album by Nigerian singer Wande Coal, known for its blend of catchy melodies and danceable production.
  • D. Wanted
    "Wanted" is a song by American rapper Mudboy, known for its gritty production and street-oriented lyrics.
  • E. Wanted chosen
    Wanted is a 2009 Indian action film directed by Prabhu Deva and produced by Boney Kapoor, known for its high-octane action sequences and for significantly boosting Salman Khan's stardom.
  • 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_69d822e34b348190ada4d1cdb6c7c226 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb5692284819090f775be8e478522 completed April 14, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde182dab08190aac2ff2db666ee69 completed May 8, 2026, 1:13 p.m.
Created at: April 10, 2026, 1:28 a.m.