Triple
T11787723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abu Zayd al-Ansari |
E280313
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Abu Zayd |
E280313
|
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: Abu Zayd | Statement: [Abu Zayd al-Ansari, givenName, Abu Zayd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abu Zayd Context triple: [Abu Zayd al-Ansari, givenName, Abu Zayd]
-
A.
Abu Zayd
Abu Zayd is the honorific (kunya) of the renowned 14th-century Arab historian and sociologist Ibn Khaldun.
-
B.
Abu Zayd al-Ansari
chosen
Abu Zayd al-Ansari was an early Arab grammarian and linguist renowned for his contributions to the development of classical Arabic grammar and philology.
-
C.
Abu Saʿid
Abu Saʿid was an Ilkhanid ruler of Persia in the early 14th century, known for being the last effective sovereign of the Ilkhanate before its fragmentation.
-
D.
Abu al-Zinad
Abu al-Zinad was an early Islamic scholar and hadith transmitter known for his role in preserving and teaching prophetic traditions in Medina.
-
E.
Abu Hazim al-Aʿraj
Abu Hazim al-Aʿraj was an early Muslim ascetic and mystic linked to the formative Basran tradition that helped shape the development of Sufism.
- 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_69d6ab258b808190b1735835c841e3a4 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a586803481909af0032c35ca6e51 |
completed | April 10, 2026, 7:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f130e5a21881909b59e39cd96ec676 |
completed | April 28, 2026, 10:12 p.m. |
Created at: April 8, 2026, 9:42 p.m.