Triple

T15451765
Position Surface form Disambiguated ID Type / Status
Subject Alecia Beth Moore E371671 entity
Predicate notableAlbum P4 FINISHED
Object Funhouse E371679 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: Funhouse | Statement: [Alecia Beth Moore, notableAlbum, Funhouse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Funhouse
Context triple: [Alecia Beth Moore, notableAlbum, Funhouse]
  • A. Funhouse chosen
    Funhouse is a 2008 pop-rock album by American singer Pink, noted for its mix of emotional ballads and energetic anthems exploring themes of heartbreak and resilience.
  • B. Funhouse
    Funhouse is a 2019 horror-thriller film about reality-show contestants trapped in a deadly online competition.
  • C. The Funhouse
    The Funhouse is a 1981 horror film directed by Tobe Hooper, known for its sinister carnival setting and cult status among slasher-movie fans.
  • D. Fun House
    Fun House is the Stooges' influential 1970 proto-punk album known for its raw, chaotic sound and lasting impact on punk and alternative rock.
  • E. Fun House
    Fun House is a British children's television game show known for its messy physical challenges, go-kart races, and energetic host Pat Sharp.
  • 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_69d85cc8bd308190886949510b42e764 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03efaf82c81908b464e37ce9c159a completed April 16, 2026, 1:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff21b3c5a481908057e94fd84f3cfc completed May 9, 2026, 11:59 a.m.
Created at: April 10, 2026, 3:30 a.m.