Triple

T5633626
Position Surface form Disambiguated ID Type / Status
Subject Elisa, vida mía E147891 entity
Predicate featuresCharacter P626 FINISHED
Object Elisa E70903 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: Elisa | Statement: [Elisa, vida mía, featuresCharacter, Elisa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elisa
Context triple: [Elisa, vida mía, featuresCharacter, Elisa]
  • A. Elisa chosen
    Elisa is a feminine given name of Hebrew origin, often considered a short form of Elisabeth and used in various languages including Italian, Spanish, and French.
  • B. Elisa Donovan
    Elisa Donovan is an American actress best known for her role as the snobbish socialite Amber Mariens in the film and television versions of "Clueless."
  • C. Elise
    Elise is a given name associated with the Austrian-Swedish physicist Lise Meitner, a pioneer in nuclear fission research.
  • D. Elisa Ambrogio
    Elisa Ambrogio is an American musician and guitarist best known as a founding member and frontwoman of the noise rock band Magik Markers.
  • E. Silvia
    Silvia is a feminine given name used in various languages, often associated with the Latin word for "forest" or "woods."
  • 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_69c00907bc8881909ed760d3ed73ef35 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0225ff3248190b93c9f5887553fd4 completed March 22, 2026, 5:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d6d2dfc8190a2eabb8beda04ee5 completed March 22, 2026, 8:13 p.m.
Created at: March 22, 2026, 3:41 p.m.