Triple

T12685510
Position Surface form Disambiguated ID Type / Status
Subject Hector Barbossa E303055 entity
Predicate resurrectedBy P7738 FINISHED
Object Tia Dalma E322828 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: Tia Dalma | Statement: [Hector Barbossa, resurrectedBy, Tia Dalma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tia Dalma
Context triple: [Hector Barbossa, resurrectedBy, Tia Dalma]
  • A. Tia Dalma chosen
    Tia Dalma is a mysterious voodoo priestess and sea goddess in the Pirates of the Caribbean film series, known for her dark magic and deep connection to the ocean’s supernatural forces.
  • B. Martika
    Martika is an American pop singer and former child actress best known for her late-1980s hits like "Toy Soldiers."
  • C. Dalida
    Dalida was a hugely popular French-Italian-Egyptian singer and actress known for her multilingual hits and enduring influence on European and Middle Eastern pop music.
  • D. Inna
    Inna is a Romanian dance-pop singer known for international hits like "Hot" and "Sun Is Up."
  • E. Kim Wilde
    Kim Wilde is an English pop singer, best known for her 1981 hit "Kids in America" and her success as a prominent figure in 1980s new wave music.
  • 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_69d7bdee64a08190801c6d470aefd723 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961d7cd4c81909521839ef5859799 completed April 10, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f671a8f068819086e2191439607f76 completed May 2, 2026, 9:50 p.m.
Created at: April 9, 2026, 5:21 p.m.