Triple
T8455817
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faiz Ahmed Faiz |
E199916
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Faiz |
E199916
|
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: Faiz | Statement: [Faiz Ahmed Faiz, givenName, Faiz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Faiz Context triple: [Faiz Ahmed Faiz, givenName, Faiz]
-
A.
Faiz
chosen
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.
-
B.
Faizi
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.
-
C.
Zaakir
Zaakir is a hip hop artist best known as a member of the Los Angeles-based group Jurassic 5 alongside rapper Chali 2na.
-
D.
Fardis
Fardis is a city in Iran that serves as an urban center within the country's Alborz Province.
-
E.
Fikret
Fikret is a Turkish surname most notably associated with the influential poet and educator Tevfik Fikret, a leading figure in late Ottoman literature.
- 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_69ca8318231881908fd1bc1c4d45d286 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe48e0ae481908b40f7f124b0551e |
completed | March 31, 2026, 3:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce1de232508190803fd2dad21e677f |
completed | April 2, 2026, 7:42 a.m. |
Created at: March 30, 2026, 6:10 p.m.