Triple

T9447401
Position Surface form Disambiguated ID Type / Status
Subject Terminator: Dark Fate E227797 entity
Predicate featuresCharacter P626 FINISHED
Object Dani Ramos E514772 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: Dani Ramos | Statement: [Terminator: Dark Fate, featuresCharacter, Dani Ramos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dani Ramos
Context triple: [Terminator: Dark Fate, featuresCharacter, Dani Ramos]
  • A. Dani Ramos chosen
    Dani Ramos is a central protagonist in the film "Terminator: Dark Fate," a young Mexican woman targeted by a new Terminator and protected by Sarah Connor and a reprogrammed cyborg.
  • B. Roger Ramirez
    Roger Ramirez was an American jazz pianist and composer best known for co-writing the classic ballad "Lover Man (Oh, Where Can You Be?)."
  • C. Cristóbal Rios
    Cristóbal Rios is a former Starfleet officer turned roguish starship captain who serves as a key ally to Jean-Luc Picard in the series Star Trek: Picard.
  • D. Frank Dominguez
    Frank Dominguez is an entrepreneur best known as a founder of the cloud-based software company Salesforce.
  • E. Frank Dominguez
    Frank Dominguez is a person whose specific public background or notable achievements are not clearly identifiable from the given information.
  • 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_69ca8439f8bc8190997f2ef40c9f0bc2 completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7f35394c8190aa77528dabd6139c completed April 1, 2026, 8:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69d2696450e4819086d5aac368127e5f completed April 5, 2026, 1:53 p.m.
Created at: March 30, 2026, 7:51 p.m.