Triple

T19551439
Position Surface form Disambiguated ID Type / Status
Subject ...And Then There Were Three... E489205 entity
Predicate hasSingle P3282 FINISHED
Object "Many Too Many" 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: "Many Too Many" | Statement: [...And Then There Were Three..., hasSingle, "Many Too Many"]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: "Many Too Many"
Context triple: [...And Then There Were Three..., hasSingle, "Many Too Many"]
  • A. "Many Too Many" chosen
    "Many Too Many" is a melodic, piano-driven ballad by the English rock band Genesis, released in 1978.
  • B. Too Many Man
    "Too Many Man" is a 2009 grime track by British rapper Skepta and other Boy Better Know members, known for its commentary on male-dominated club scenes and its popularity in UK underground music culture.
  • C. "The Many Ways"
    "The Many Ways" is an R&B song by Usher from his self-titled debut studio album.
  • D. More Than Alot
    More Than Alot is the debut studio album by British electronic music duo Chase & Status, known for its blend of drum and bass, dubstep, and dance influences.
  • E. Too Many People
    "Too Many People" is a song by Paul McCartney from his 1971 album *Ram*, noted for its sharp, veiled criticisms of John Lennon.
  • 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63d30a1d8819084d1bc60a5e49cae completed April 20, 2026, 2:50 p.m.
Created at: April 10, 2026, 1:41 p.m.