Triple

T5918242
Position Surface form Disambiguated ID Type / Status
Subject Lara's Theme E131633 entity
Predicate associatedAwardRecipient P30587 FINISHED
Object Maurice Jarre E133300 NE FINISHED

How this triple was built (3 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: Maurice Jarre | Statement: [Lara's Theme, associatedAwardRecipient, Maurice Jarre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maurice Jarre
Context triple: [Lara's Theme, associatedAwardRecipient, Maurice Jarre]
  • A. Maurice Jarre chosen
    Maurice Jarre was a French composer renowned for his sweeping, Oscar-winning film scores, particularly for epic movies such as "Lawrence of Arabia," "Doctor Zhivago," and "A Passage to India."
  • B. Richard Addinsell
    Richard Addinsell was a British composer best known for his film scores and the popular orchestral piece "Warsaw Concerto."
  • C. Miklós Rózsa
    Miklós Rózsa was a Hungarian-American composer renowned for his influential and Oscar-winning film scores during Hollywood’s Golden Age, including classics like Ben-Hur and Double Indemnity.
  • D. Ernest Gold
    Ernest Gold was an Austrian-born American composer best known for his acclaimed film scores, including the Oscar-winning music for "Exodus."
  • E. Franz Waxman
    Franz Waxman was a German-American composer renowned for his influential and Oscar-winning film scores during Hollywood's Golden Age.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedAwardRecipient
Context triple: [Lara's Theme, associatedAwardRecipient, Maurice Jarre]
  • A. recipientOfAward
    Indicates that an entity has received or been granted a particular award.
  • B. coRecipientOfAward
    Indicates that two or more entities jointly received the same award.
  • C. relatedAward
    Indicates that there is an award connected or associated with the subject entity, such as an honor, prize, or recognition related to it.
  • D. hasLaureate
    Indicates that an entity (such as an award or prize) has a specific person or group as its laureate or recipient.
  • E. awardTo chosen
    Indicates that an award, prize, or honor is given or assigned to a particular recipient.
  • F. None of above.

Provenance (4 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_69c0085a1ed08190a7e9a8b6323fd680 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c048fc112c8190b905bf561c9de096 completed March 22, 2026, 7:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e39ea48c8190a968f81f0e26ccbf completed March 23, 2026, 6:54 a.m.
PD Predicate disambiguation batch_69c03352208c8190968efed05a9fd416 completed March 22, 2026, 6:22 p.m.
Created at: March 22, 2026, 3:59 p.m.