Triple

T12772060
Position Surface form Disambiguated ID Type / Status
Subject Tales of Mother Goose E305269 entity
Predicate hasPart P35 FINISHED
Object Blue Beard E492536 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: Blue Beard | Statement: [Tales of Mother Goose, hasPart, Blue Beard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blue Beard
Context triple: [Tales of Mother Goose, hasPart, Blue Beard]
  • A. Bluebeard chosen
    Bluebeard is a classic French folktale about a wealthy, murderous husband who forbids his new wife from entering a locked room that hides the corpses of his previous wives.
  • B. Bluebeard
    Bluebeard is a postmodern novel by Kurt Vonnegut that satirically explores art, war, and human folly through the memoirs of a reclusive abstract expressionist painter.
  • C. Bluebeard's Eighth Wife
    Bluebeard's Eighth Wife is a 1938 romantic screwball comedy film starring Claudette Colbert and Gary Cooper, noted for its witty dialogue and sophisticated style.
  • D. Barnacle Boy
    Barnacle Boy is a grumpy, elderly superhero sidekick from the animated series "SpongeBob SquarePants," known as the partner of Mermaid Man.
  • E. Tres Sorores
    Tres Sorores is a famous trio of high Pyrenean peaks on the Spanish–French border, renowned among mountaineers for their dramatic limestone summits and glacial landscapes.
  • 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_69d7bdf2b43c819098ae5aa68e61ea58 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96df5b68481908a5d40516b09be52 completed April 10, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69b90ae688190b22e3a68d27b54c5 completed May 3, 2026, 12:49 a.m.
Created at: April 9, 2026, 5:28 p.m.