Triple
T20248010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taystee |
E498474
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Tasha |
—
|
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: Tasha | Statement: [Taystee, givenName, Tasha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tasha Context triple: [Taystee, givenName, Tasha]
-
A.
Tasha
chosen
Tasha is a common given name, often used as a diminutive of Natasha.
-
B.
Talia
Talia is a feminine given name used in various cultures, often associated with meanings like “dew from heaven” or “to bloom.”
-
C.
Tatia
Tatia was an early Roman noblewoman, traditionally known as the wife of Rome’s second king, Numa Pompilius, and a figure linked to the Sabine heritage in Roman legend.
-
D.
Ta’aisha
The Ta’aisha are a Sudanese Arab tribal group from the Darfur–Kordofan region, historically prominent through their leadership role in the Mahdist state under Abdallahi ibn Muhammad.
-
E.
Janna
Janna is an American tax attorney best known as the wife of former U.S. Speaker of the House and 2012 vice-presidential nominee Paul Ryan.
- 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_69da6274c58c81909c646eabed6f4f30 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e673a5ce4081908dff86ed4c613fd6 |
completed | April 20, 2026, 6:42 p.m. |
Created at: April 11, 2026, 11:40 p.m.