Triple

T9518786
Position Surface form Disambiguated ID Type / Status
Subject Jervis Pendleton III E229592 entity
Predicate benefactorOf P21088 FINISHED
Object Julie Andre E224484 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: Julie Andre | Statement: [Jervis Pendleton III, benefactorOf, Julie Andre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Julie Andre
Context triple: [Jervis Pendleton III, benefactorOf, Julie Andre]
  • A. Julie Andre chosen
    Julie Andre is the young French orphan who becomes the charming and spirited love interest of the benefactor in the 1955 musical film "Daddy Long Legs."
  • B. Julie Zenatti
    Julie Zenatti is a French singer and musical theatre performer best known for her role in the original cast of the hit musical "Notre-Dame de Paris."
  • C. Julie Durk
    Julie Durk is a film producer best known for her work on the romantic comedy "You've Got Mail."
  • D. Julie Lynn
    Julie Lynn is an American film producer known for her work on independent and critically acclaimed movies.
  • E. Andrea Anders
    Andrea Anders is a fictional Bond girl character from the James Bond film "The Man with the Golden Gun," known as the mistress of the villain Francisco Scaramanga.
  • 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.