Triple

T8075018
Position Surface form Disambiguated ID Type / Status
Subject Mario Montez E188468 entity
Predicate appearedIn P795 FINISHED
Object Lupe E669076 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: Lupe | Statement: [Mario Montez, appearedIn, Lupe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lupe
Context triple: [Mario Montez, appearedIn, Lupe]
  • A. Lupe Lamora
    Lupe Lamora is a Bond girl and the mistress of drug lord Franz Sanchez who becomes an ally to James Bond in the 1989 film "Licence to Kill."
  • B. Lali
    Lali is the official mascot character created for the 2017 World Aquatics Championships held in Budapest.
  • C. Lulu
    Lulu is a common feminine given name or nickname, often used as a diminutive form of names like Louise.
  • D. Carmelita chosen
    Carmelita is the fiery, comedic Mexican heroine portrayed by Lupe Vélez in the 1940s "Mexican Spitfire" film series.
  • E. Nena
    Nena is a German pop singer and actress best known internationally for her 1983 hit song "99 Luftballons."
  • 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_69ca82b50c708190863f661d438e68df completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb404c513c8190af54d6d6b6d1a81d completed March 31, 2026, 3:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc63f000308190a55379f8bf67f0cd completed April 1, 2026, 12:16 a.m.
Created at: March 30, 2026, 5:27 p.m.