Triple
T14195828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Talia |
E351832
|
entity |
| Predicate | hasAlternativeSpelling |
P457
|
FINISHED |
| Object | Talya |
E1084896
|
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: Talya | Statement: [Talia, hasAlternativeSpelling, Talya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Talya Context triple: [Talia, hasAlternativeSpelling, Talya]
-
A.
Talya
chosen
Talya is a feminine given name used in various cultures, often considered a variant of names like Talia and associated with meanings such as “dew from God” or “morning dew.”
-
B.
Tova
Tova is a feminine given name, often of Hebrew or Scandinavian origin, associated with meanings like "good" or "beautiful."
-
C.
Tirza
Tirza is a river in Latvia that serves as one of the tributaries feeding into the larger Gauja River system.
-
D.
Ilana
Ilana is a fictional character associated with the work titled "Dawn."
-
E.
Ilana
Ilana is a feminine given name used in various cultures, often with Hebrew origins meaning "tree."
- 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_69d827894ac0819097803e57f3227b23 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61e1fbd48190a4864fa4443f8f29 |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd280aaa1c8190a957dfc2c624e3f6 |
completed | May 8, 2026, 12:02 a.m. |
Created at: April 10, 2026, 1:04 a.m.