Triple
T17632777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seyla Benhabib |
E430018
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Seyla |
—
|
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: Seyla | Statement: [Seyla Benhabib, givenName, Seyla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seyla Context triple: [Seyla Benhabib, givenName, Seyla]
-
A.
Seyla
chosen
Seyla is a Turkish-American philosopher and political theorist known for her influential work on critical theory, democracy, and cosmopolitanism.
-
B.
Sheilia
Sheilia is a feminine given name, typically considered an alternative spelling of the name Sheila.
-
C.
Shela
Shela is a song by the American rock band Aerosmith, featured on their 1985 album "Done with Mirrors."
-
D.
Jacinta
Jacinta is a feminine given name of Spanish and Portuguese origin, famously borne by Jacinta Marto, one of the child visionaries of Fátima.
-
E.
Talya
Talya is a feminine given name used in various cultures, often considered a variant of names like Talia and associated with meanings such as “dew from God” or “morning dew.”
- 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_69d889e37f308190a6aa0a69daff86c7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46dc276b48190923f1869ebfe4400 |
completed | April 19, 2026, 5:53 a.m. |
Created at: April 10, 2026, 5:52 a.m.