Triple
T1457828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dina Wadia |
E31438
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Dina |
E118897
|
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: Dina | Statement: [Dina Wadia, givenName, Dina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dina Context triple: [Dina Wadia, givenName, Dina]
-
A.
Dina
chosen
Dina is a feminine given name used in various cultures, often as a variant of names like Dinah or Edina.
-
B.
Mella
Mella is a Spanish-language surname most notably associated with Cuban revolutionary leader Julio Antonio Mella.
-
C.
Shira
Shira is the eroded western volcanic cone and plateau of Mount Kilimanjaro, forming one of the mountain’s three main summits.
-
D.
Evessa
Evessa is a professional basketball team based in Osaka, Japan, competing in the B.League.
-
E.
Nesta
Nesta is the middle name of legendary Jamaican reggae musician and cultural icon Bob Marley.
- 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_69a49917dfc081909acdbdf5d684f1ef |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c59a462881908e84b27846a6bc04 |
completed | March 1, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad0e7643e081909a088035faf2022d |
completed | March 8, 2026, 5:51 a.m. |
Created at: March 1, 2026, 8 p.m.