Triple
T4488649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tara Fitzgerald |
E107312
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Tara |
E193416
|
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: Tara | Statement: [Tara Fitzgerald, givenName, Tara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tara Context triple: [Tara Fitzgerald, givenName, Tara]
-
A.
Tara
chosen
Tara is a female given name commonly used in English-speaking countries, often associated with notable figures such as Olympic figure skater Tara Lipinski.
-
B.
Tara
Tara is an ancient ceremonial and royal site in County Meath, Ireland, traditionally regarded as the seat of the High Kings of Ireland and a major center of Gaelic spiritual and political life.
-
C.
Tara
Tara is a revered Buddhist goddess associated with compassion and protection, widely worshipped across South and Southeast Asia.
-
D.
Tarana
Tarana is the first name of Tarana Burke, the American civil rights activist who founded the Me Too movement.
-
E.
Tamina
The Tamina is a river in eastern Switzerland known for flowing through the deep Tamina Gorge before joining the Alpine Rhine.
- 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_69bd43f84f788190a1383579c4a595be |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd52ad36748190b791de458f2116b2 |
completed | March 20, 2026, 1:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bd67a90f308190ab4f912cd1e2f692 |
completed | March 20, 2026, 3:28 p.m. |
Created at: March 20, 2026, 12:59 p.m.