Triple

T9145662
Position Surface form Disambiguated ID Type / Status
Subject Can I Have It Like That E219444 entity
Predicate followedBy P78 FINISHED
Object Angel E404619 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: Angel | Statement: [Can I Have It Like That, followedBy, Angel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Angel
Context triple: [Can I Have It Like That, followedBy, Angel]
  • A. Angel
    "Angel" is a 1937 romantic comedy film directed by Ernst Lubitsch, known for its sophisticated wit and starring Marlene Dietrich, Herbert Marshall, and Melvyn Douglas.
  • B. Angel
    Angel is a winged mutant warrior in the X-Men universe, often depicted with metallic feathered wings and a conflicted, tormented nature.
  • C. Angel
    Angel is an American supernatural drama television series set in the Buffy the Vampire Slayer universe, following a vampire with a soul seeking redemption in Los Angeles.
  • D. Angel chosen
    "Angel" is a song by the American rock band Aerosmith, best known as a power ballad from their 1987 album *Permanent Vacation*.
  • E. Angel
    Angel is a vibrant district in central London known for its bustling high street, cultural venues, and lively dining and nightlife scene.
  • 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_69ca83e121dc81909912bd66953081c5 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca917914c8190b97ca9169bbd1e5e completed April 1, 2026, 5:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05bfe53808190ac4cb24823b886d3 completed April 4, 2026, 12:31 a.m.
Created at: March 30, 2026, 7:19 p.m.