Triple

T9518959
Position Surface form Disambiguated ID Type / Status
Subject Harry Alan Towers E229597 entity
Predicate notableWork P4 FINISHED
Object Bluebeard 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: Bluebeard | Statement: [Harry Alan Towers, notableWork, Bluebeard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bluebeard
Context triple: [Harry Alan Towers, notableWork, Bluebeard]
  • 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. Le Prestre
    Le Prestre is the noble Breton family name of Sébastien Le Prestre de Vauban, the famed 17th-century French military engineer and marshal.
  • C. La Vieille Dame
    La Vieille Dame is the nickname of La Soufrière, an active stratovolcano on the island of Basse-Terre in Guadeloupe and one of the most prominent volcanic peaks in the Lesser Antilles.
  • D. Dulliken
    Dulliken is a municipality in the canton of Solothurn in Switzerland, located in the Olten district.
  • E. The Countess
    The Countess is a glamorous, immortal vampire-like socialite and the central, ruthlessly seductive antagonist of American Horror Story: Hotel, portrayed by Lady Gaga.
  • 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_69ca847870a881909d8d751a7d29da39 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9881e0f081909a0177cedc2e8b95 completed April 1, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69d13a51292c8190b871509a32897251 completed April 4, 2026, 4:20 p.m.
Created at: March 30, 2026, 7:59 p.m.