Triple

T3968325
Position Surface form Disambiguated ID Type / Status
Subject The Waterboy E92268 entity
Predicate starring P1507 FINISHED
Object Fairuza Balk E161342 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: Fairuza Balk | Statement: [The Waterboy, starring, Fairuza Balk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fairuza Balk
Context triple: [The Waterboy, starring, Fairuza Balk]
  • A. Fairuza Balk chosen
    Fairuza Balk is an American actress known for her intense, offbeat roles in films such as "The Craft," "American History X," and "Almost Famous."
  • B. Ayda Sirhan
    Ayda Sirhan is a family member of Munir Sirhan, who is known as the brother of Sirhan Sirhan, the assassin of Robert F. Kennedy.
  • C. Martika
    Martika is an American pop singer and former child actress best known for her late-1980s hits like "Toy Soldiers."
  • D. Gianna Nannini
    Gianna Nannini is an Italian rock singer-songwriter renowned for her powerful voice and international hit collaborations, including the official song of the 1990 FIFA World Cup.
  • E. 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.
  • 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_69aed96624188190ac8c45bb57ab72b5 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef978a14c8190a7982a2e4489b6ea completed March 9, 2026, 4:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b533c189a88190b3a81c63621b98ac completed March 14, 2026, 10:09 a.m.
Created at: March 9, 2026, 3:32 p.m.