Triple
T20517064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zoë Yadira Saldaña Nazario |
E503707
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Zoë |
—
|
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: Zoë | Statement: [Zoë Yadira Saldaña Nazario, givenName, Zoë]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zoë Context triple: [Zoë Yadira Saldaña Nazario, givenName, Zoë]
-
A.
Zoe
chosen
Zoe is a feminine given name of Greek origin meaning "life," commonly used in many English-speaking and European countries.
-
B.
Zoe
"Zoe" is a 2018 science-fiction romantic drama film directed by Drake Doremus that explores love and relationships in a near-future world of advanced artificial intelligence and synthetic partners.
-
C.
Zoé
Zoé is a popular Mexican rock band known for its alternative and psychedelic sound.
-
D.
Zoe Graystone
Zoe Graystone is a central teenage prodigy in the science fiction TV series "Caprica," known for her pioneering role in the creation of sentient artificial intelligence and the origins of the Cylons.
-
E.
Tessa
Tessa is a feminine given name commonly used in English-speaking countries, often as a diminutive of Theresa or Therese.
- 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_69e0b4b2aa788190ae9eb37c1d73b1f1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69f42db688190a3ccfba5601e8bf3 |
completed | April 20, 2026, 9:48 p.m. |
Created at: April 16, 2026, 11:36 a.m.