Triple

T18353257
Position Surface form Disambiguated ID Type / Status
Subject Ian & Sylvia (album) E439721 entity
Predicate containsSong P20452 FINISHED
Object Old Blue E471654 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: Old Blue | Statement: [Ian & Sylvia (album), containsSong, Old Blue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Old Blue
Context triple: [Ian & Sylvia (album), containsSong, Old Blue]
  • A. Old Blue chosen
    "Old Blue" is a traditional folk song popularized by American singer Joan Baez on her album "Joan Baez, Vol. 2."
  • B. Old Blue
    Old Blue was the last remaining fertile female Chatham Island black robin whose breeding success in the 1980s saved her species from near extinction.
  • C. Girl Blue
    "Girl Blue" is a soulful, jazz-inflected R&B song by Stevie Wonder from his acclaimed 1972 album *Music of My Mind*.
  • D. Blue Lou
    "Blue Lou" is a classic swing-era jazz standard, widely performed and recorded by big bands in the 1930s and beyond.
  • E. Boy Blue
    Boy Blue is a central character in the "Fables" comic series, portrayed as a seemingly mild-mannered office worker who is actually a brave, resourceful hero with a storied past in the Homelands.
  • 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_69d8b918221c8190a9f7b563d64ac677 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e516d37bc08190abc9b4e8c937c914 completed April 19, 2026, 5:54 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03cc2b4b3c81909ff81c7861e0ddba completed May 13, 2026, 12:56 a.m.
Created at: April 10, 2026, 10:37 a.m.