Triple
T9642593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ali ibn Husayn Zayn al-Abidin |
E233109
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Sayyid |
E68259
|
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: Sayyid | Statement: [Ali ibn Husayn Zayn al-Abidin, title, Sayyid]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sayyid Context triple: [Ali ibn Husayn Zayn al-Abidin, title, Sayyid]
-
A.
Sayyids
chosen
The Sayyids are a Muslim community traditionally claiming descent from the Prophet Muhammad, historically influential in South Asia and elsewhere in the Islamic world.
-
B.
Sa’id
Sa’id is a male given name of Arabic origin, commonly meaning "happy" or "fortunate."
-
C.
Kamarudeen
Kamarudeen is the given first name of Kamaru Usman, a Nigerian-American mixed martial artist and former UFC welterweight champion.
-
D.
Sayyid al-Taifa
Sayyid al-Taifa is an honorific title meaning "Master of the (Sufi) Community," traditionally associated with the early Sufi leader al-Junayd of Baghdad.
-
E.
Sayyid al-Badawi
Sayyid al-Badawi is an Egyptian politician and businessman best known as a leading figure of the liberal Wafd Party and a prominent participant in post-2011 opposition coalitions.
- 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_69ca848a5a908190aad251f4137b0c3a |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9b7cda388190a38f96d78085f404 |
completed | April 1, 2026, 10:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d18252c1cc81908d33c9c55d645fbf |
completed | April 4, 2026, 9:27 p.m. |
Created at: March 30, 2026, 8:12 p.m.