Triple

T12710852
Position Surface form Disambiguated ID Type / Status
Subject Zita of Bourbon-Parma E303712 entity
Predicate givenName P17 FINISHED
Object Zita E701391 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: Zita | Statement: [Zita of Bourbon-Parma, givenName, Zita]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zita
Context triple: [Zita of Bourbon-Parma, givenName, Zita]
  • A. Zita chosen
    Zita is a feminine given name of European origin, notably borne by the Austrian-American actress Zita Johann.
  • B. Tirza
    Tirza is a river in Latvia that serves as one of the tributaries feeding into the larger Gauja River system.
  • C. Zoia
    Zoia was the daughter of Romanian dictator Nicolae Ceaușescu, known for her work as a mathematician and for her controversial role within Romania’s communist elite.
  • D. Zita Alvarez
    Zita Alvarez is a fictional doctor featured in the medical drama television series "Off the Map."
  • E. Lillita
    Lillita is the birth name of Lita Grey, the American actress best known for her early silent film work and marriage to Charlie Chaplin.
  • 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_69d7bdf084148190ab9d513dc0735af4 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96207b2d881908314efc3e350aa78 completed April 10, 2026, 8:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f671b8f43081909d4a8e4241c813a1 completed May 2, 2026, 9:50 p.m.
Created at: April 9, 2026, 5:23 p.m.