Triple
T6429015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ferdowsi |
E128130
|
entity |
| Predicate | honorificName |
P6819
|
FINISHED |
| Object | Abul-Qasim |
E128130
|
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: Abul-Qasim | Statement: [Ferdowsi, honorificName, Abul-Qasim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abul-Qasim Context triple: [Ferdowsi, honorificName, Abul-Qasim]
-
A.
Abul-Qasim
chosen
Abul-Qasim is the honorific given name of the Persian poet Ferdowsi, famed author of the epic Shahnameh.
-
B.
Abu Ali
Abu Ali is the honorific kunya of the renowned Persian philosopher, historian, and ethical thinker Ibn Miskawayh, a key intellectual figure of the Islamic Golden Age.
-
C.
Abu Ali
Abu Ali is the honorific name (kunya) of the influential 10th-century Abbasid calligrapher and vizier Ibn Muqla, renowned for codifying the principles of Arabic script.
-
D.
Abu Ali
Abu Ali is an honorific name referring to Avicenna, the influential Persian polymath, physician, and philosopher of the Islamic Golden Age.
-
E.
Ibn al-Quff
Ibn al-Quff was a 13th-century Arab physician and surgeon renowned for his influential medical writings and contributions to the development of Islamic surgery and anatomy.
- 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_69c00838de888190af2eec0b80495efa |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c06922a27881908c5571f2aa31e0c1 |
completed | March 22, 2026, 10:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c640e678608190b5a1dcd1076bc1f2 |
completed | March 27, 2026, 8:33 a.m. |
Created at: March 22, 2026, 4:44 p.m.