Triple

T14662625
Position Surface form Disambiguated ID Type / Status
Subject Antoni Corone E344282 entity
Predicate notableWork P4 FINISHED
Object Blood and Wine E858255 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: Blood and Wine | Statement: [Antoni Corone, notableWork, Blood and Wine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blood and Wine
Context triple: [Antoni Corone, notableWork, Blood and Wine]
  • A. Blood and Wine chosen
    Blood and Wine is a 1996 neo-noir crime thriller film directed by Bob Rafelson and starring Jack Nicholson, Michael Caine, and Jennifer Lopez.
  • B. Bitter Wine
    "Bitter Wine" is a song featured on the album "These Days."
  • C. The Wine Drinker
    The Wine Drinker is a genre painting by Dutch Golden Age artist Jan van der Meer van Utrecht, depicting a convivial scene centered on a figure enjoying wine.
  • D. The Wine and the Music
    The Wine and the Music is a mid-20th-century novel by American author William Edmund Barrett, best known for its exploration of faith, duty, and personal sacrifice within the Catholic priesthood.
  • E. The Red Vineyard
    The Red Vineyard is an 1888 oil painting by Vincent van Gogh, celebrated as the only work he is known to have sold during his lifetime and depicting laborers harvesting grapes in the glowing light of sunset.
  • 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_69d822e283fc8190a0e4c235cf880052 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb54ae5ac81908cc69891f280e5f7 completed April 14, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5e4789481909a64622a1d284373 completed May 8, 2026, 12:24 p.m.
Created at: April 10, 2026, 1:27 a.m.