Triple
T15004567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Navaratnas of Akbar |
E377675
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Faizi |
E77691
|
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: Faizi | Statement: [Navaratnas of Akbar, hasMember, Faizi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Faizi Context triple: [Navaratnas of Akbar, hasMember, Faizi]
-
A.
Faizi
chosen
Faizi was a renowned 16th-century Persian-language poet and scholar who served as one of the prominent intellectuals in the Mughal emperor Akbar’s court.
-
B.
Fayiz
Fayiz is a masculine given name of Arabic origin, commonly used as a variant transliteration of the name Fayez.
-
C.
Faiz
Faiz is the given name of Faiz Ahmed Faiz, a renowned Pakistani poet and one of the most celebrated Urdu literary figures of the 20th century.
-
D.
Fazl
Fazl is the given name of Fazl-e-Haq Khairabadi, a 19th-century Indian Islamic scholar, philosopher, and prominent figure in the Indian Rebellion of 1857.
-
E.
Wasfi
Wasfi is an Arabic masculine given name commonly used in the Middle East.
- 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_69d85cd3a3c881908c71fc424d459c17 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7322b5c81909089cbbf816e1436 |
completed | April 15, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe96a04eec8190b347bf3637aba0bc |
completed | May 9, 2026, 2:06 a.m. |
Created at: April 10, 2026, 2:54 a.m.