Triple
T8569861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gelsey Kirkland |
E202900
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Gelsey |
E202900
|
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: Gelsey | Statement: [Gelsey Kirkland, givenName, Gelsey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gelsey Context triple: [Gelsey Kirkland, givenName, Gelsey]
-
A.
Leontyne
Leontyne is a feminine given name most notably associated with the celebrated American opera singer Leontyne Price.
-
B.
Gelsey Kirkland
chosen
Gelsey Kirkland is an acclaimed American ballerina renowned for her work with New York City Ballet and American Ballet Theatre, as well as for her influential memoirs and teaching.
-
C.
Callas
Callas is a small commune in the Var department of southeastern France, known for its picturesque Provençal setting amid hills, vineyards, and olive groves.
-
D.
Audra
Audra is a feminine given name most notably associated with acclaimed American actress and singer Audra McDonald.
-
E.
Vivien
Vivien is a famous Pre-Raphaelite painting by Frederic Sandys depicting the Arthurian enchantress often associated with Merlin.
- 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_69ca8327b0a881908606ff860713964d |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbea4091f48190b5174d7a5cfd2bd8 |
completed | March 31, 2026, 3:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce897a958c81909b611fac377e26ca |
completed | April 2, 2026, 3:21 p.m. |
Created at: March 30, 2026, 6:21 p.m.