Triple
T2639331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alan |
E62825
|
entity |
| Predicate | hasFeminineForm |
P1613
|
FINISHED |
| Object | Alaina |
E284352
|
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: Alaina | Statement: [Alan, hasFeminineForm, Alaina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alaina Context triple: [Alan, hasFeminineForm, Alaina]
-
A.
Alana
chosen
Alana is a feminine given name commonly used in English-speaking countries and various cultures worldwide.
-
B.
Kaitlyn Dias
Kaitlyn Dias is an American actress best known for voicing the character Riley Andersen in Pixar's animated film "Inside Out."
-
C.
Tiana Rogers
Tiana Rogers was a Cherokee woman known for her marriage to Sam Houston, the American statesman and leader of the Republic of Texas.
-
D.
Jenna
Jenna is a common feminine given name, often used as a diminutive or variant of Jennifer.
-
E.
Hayley McFarland
Hayley McFarland is an American actress best known for her roles in horror and drama projects, including a supporting role in the film "The Conjuring" and appearances on television series such as "Lie to Me."
- 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_69ab4c3f2dcc819082df80f5e032f690 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abd8fafad08190939b08558fea6abd |
completed | March 7, 2026, 7:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afa04f0d448190adf113831fb5bc42 |
completed | March 10, 2026, 4:38 a.m. |
Created at: March 6, 2026, 9:53 p.m.