Triple

T18664113
Position Surface form Disambiguated ID Type / Status
Subject Jane's Addiction E456280 entity
Predicate notableSong P4 FINISHED
Object Been Caught Stealing NE NERFINISHED

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: Been Caught Stealing | Statement: [Jane's Addiction, notableSong, Been Caught Stealing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Been Caught Stealing
Context triple: [Jane's Addiction, notableSong, Been Caught Stealing]
  • A. Been Caught Stealing chosen
    "Been Caught Stealing" is a hit alternative rock song by Jane's Addiction, known for its funky groove, playful lyrics about shoplifting, and prominent use of samples and dog barks.
  • B. Stolen
    Stolen is a 2012 action thriller film starring Nicolas Cage as a former thief racing against time to rescue his kidnapped daughter.
  • C. Stolen
    "Stolen" is a song by British-Indian singer Jay Sean that blends R&B and pop influences and helped establish his early mainstream success.
  • D. Stolen
    "Stolen" is a suspense thriller novel by Tess Gerritsen that follows a woman whose identity and life are suddenly erased, plunging her into a dangerous conspiracy.
  • E. License to Steal
    License to Steal is a 1990 Hong Kong action film featuring Joyce Godenzi in a prominent role, known for its high-energy martial arts and stunt sequences.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d38f72b4819090a935175d9ca8af completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5508d2d588190a468bd7b205d2057 completed April 19, 2026, 10 p.m.
Created at: April 10, 2026, 11:48 a.m.