Triple

T9937423
Position Surface form Disambiguated ID Type / Status
Subject By the Sea E193991 entity
Predicate musicBy P1952 FINISHED
Object Gabriel Yared E48047 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: Gabriel Yared | Statement: [By the Sea, musicBy, Gabriel Yared]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gabriel Yared
Context triple: [By the Sea, musicBy, Gabriel Yared]
  • A. Gabriel Yared chosen
    Gabriel Yared is a Lebanese-French composer renowned for his evocative film scores, including his Academy Award–winning work on "The English Patient."
  • B. Walid Guirguis
    Walid Guirguis is a screenwriter best known for his work on the 1951 film "M."
  • C. Firas Tlass
    Firas Tlass is a Syrian businessman and member of the prominent Tlass family, known for his connections to the country’s political and economic elite.
  • D. Omar Razzaz
    Omar Razzaz is a Jordanian politician and economist who served as the country’s prime minister from 2018 to 2020, known for his focus on economic reform and anti-corruption measures.
  • E. Omar Meheshi
    Omar Meheshi was a Libyan military officer and political figure who participated in the 1969 coup that brought Muammar Gaddafi to power and later became a prominent dissident against his regime.
  • 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_69ca82e409348190a393777356b80a2a completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb5e4e19881909879b394090d6629 completed April 2, 2026, 12:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69d23d4528108190b38111bb36832a67 completed April 5, 2026, 10:45 a.m.
Created at: March 30, 2026, 8:44 p.m.