Triple
T20529856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zaida of Seville |
E504039
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Zaida |
—
|
NE NERFINISHED |
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: Zaida | Statement: [Zaida of Seville, givenName, Zaida]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zaida Context triple: [Zaida of Seville, givenName, Zaida]
-
A.
Zaida
chosen
Zaida is a small town located in Midelt Province in central Morocco, known as a roadside stop between the Middle and High Atlas mountains.
-
B.
Zoraïde
Zoraïde is the beautiful and tragic mixed-race heroine at the center of Kate Chopin’s short story "La Belle Zoraïde."
-
C.
Tirza
Tirza is a river in Latvia that serves as one of the tributaries feeding into the larger Gauja River system.
-
D.
Rosalinda
Rosalinda is a feminine given name of Spanish and Italian origin, often interpreted to mean "beautiful rose."
-
E.
Rosabella
Rosabella is the shy, kind-hearted waitress who becomes the central romantic heroine in Frank Loesser’s Broadway musical "The Most Happy Fella."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4b3a6e08190ae663701f50fab8e |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a069edf88190835a9c392c990c55 |
completed | April 20, 2026, 9:53 p.m. |
Created at: April 16, 2026, 11:37 a.m.