Triple
T22299383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Analeigh Tipton |
E551213
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Analeigh |
—
|
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: Analeigh | Statement: [Analeigh Tipton, givenName, Analeigh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Analeigh Context triple: [Analeigh Tipton, givenName, Analeigh]
-
A.
Annaleigh
chosen
Annaleigh is a feminine given name most notably borne by American actress and singer Annaleigh Ashford.
-
B.
Ashlea
Ashlea is a given name, typically a feminine variant of Ashley, used in English-speaking countries.
-
C.
Kayely
Kayely is an alternate name for the Kayeli language, an Austronesian language historically spoken on Buru Island in Indonesia.
-
D.
Lorretta
Lorretta is a feminine given name, typically considered a spelling variant of the name Loretta.
-
E.
Alaina
Alaina is a feminine given name, typically considered a variant of names like Alain or Alan.
- 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_69e11e45fb848190a1b2ae21296e3a5f |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15722c3348190b63eb49764ef132d |
completed | April 29, 2026, 12:56 a.m. |
Created at: April 16, 2026, 8:41 p.m.