Triple
T10693965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tanaquil Le Clercq |
E252081
|
entity |
| Predicate | hasGivenName |
P17
|
FINISHED |
| Object | Tanaquil |
E246021
|
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: Tanaquil | Statement: [Tanaquil Le Clercq, hasGivenName, Tanaquil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tanaquil Context triple: [Tanaquil Le Clercq, hasGivenName, Tanaquil]
-
A.
Tanaquil
chosen
Tanaquil was a celebrated American ballerina and principal dancer with the New York City Ballet, renowned for her collaborations with George Balanchine in the mid-20th century.
-
B.
Leontia
Leontia was a Byzantine imperial princess, the daughter of Emperor Leo I, known for her role in dynastic marriage alliances of the Eastern Roman Empire.
-
C.
Tanaquil (traditional attribution)
Tanaquil is a semi-legendary Etruscan noblewoman in early Roman tradition, renowned for her political influence and prophetic abilities in shaping Rome’s monarchy.
-
D.
Leontine
Leontine is a feminine given name, used as a variant of names like Leona and Leontina, with roots in Latin meaning "lion-like" or "lioness."
-
E.
Serafima
Serafima is a feminine given name of Slavic origin, commonly used in Russian-speaking countries.
- 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_69d6aa5bd7c08190a816e733b4045c23 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fd38c24c8190a105a9dfdf705b38 |
completed | April 9, 2026, 1:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d988b002f88190921af43e551ccb85 |
completed | April 10, 2026, 11:33 p.m. |
Created at: April 8, 2026, 9:11 p.m.