Triple

T18380452
Position Surface form Disambiguated ID Type / Status
Subject Amelita Martinez Ramos E446427 entity
Predicate givenName P17 FINISHED
Object Amelita E446427 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: Amelita | Statement: [Amelita Martinez Ramos, givenName, Amelita]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amelita
Context triple: [Amelita Martinez Ramos, givenName, Amelita]
  • A. Amelita
    Amelita is a supporting female character in the Western film "Rio Lobo," involved in the story’s frontier conflicts and alliances.
  • B. Amelita Martinez Ramos chosen
    Amelita Martinez Ramos is the former First Lady of the Philippines, known for her public service and support of social and cultural initiatives during the presidency of her husband, Fidel V. Ramos.
  • C. Geronima Mazzarini
    Geronima Mazzarini was an Italian noblewoman of the influential Mazzarini family, sister of Cardinal Mazarin and mother-in-law to Eugene Maurice, Count of Soissons.
  • D. Marlene
    Marlene is the ambitious, career-driven protagonist of Caryl Churchill’s play "Top Girls," whose life embodies the tensions between feminism, success, and personal sacrifice.
  • E. Marlene
    Marlene is an energetic and friendly otter who appears as a main supporting character in the animated series "The Penguins of Madagascar."
  • 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_69d8b9f370b88190b1e5081c2c238e7f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e5179aa328819097f5ed8193cfa401 completed April 19, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03e23a82348190acde1122b6eb75b0 completed May 13, 2026, 2:30 a.m.
Created at: April 10, 2026, 10:45 a.m.