Triple
T1358269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mohammad Hatta |
E29039
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Mohammad |
E4752
|
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: Mohammad | Statement: [Mohammad Hatta, givenName, Mohammad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mohammad Context triple: [Mohammad Hatta, givenName, Mohammad]
-
A.
Muhammad
chosen
Muhammad is the 7th-century Arab religious, political, and social leader regarded by Muslims as the final prophet and messenger of God in Islam.
-
B.
Ali Zayn al-Abidin
Ali Zayn al-Abidin was the fourth Shia Imam, revered for his piety, scholarship, and foundational role in shaping early Shia theology and jurisprudence.
-
C.
Sayyid Muhammad
Sayyid Muhammad was a 16th-century architect best known for designing Humayun’s Tomb in Delhi, a landmark of early Mughal architecture and a precursor to the Taj Mahal.
-
D.
Abdullah
Abdullah is a common Arabic male given name, notably borne by King Abdullah II of Jordan.
-
E.
Mohamed
Mohamed is a common Arabic male given name, widely used across the Muslim world in honor of the Prophet Muhammad.
- 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_69a498d77abc8190913bf57e5f51d2c4 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c28f5b988190b0be4504eabb919d |
completed | March 1, 2026, 10:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adb5af961c8190aed3129dab0fecf3 |
completed | March 8, 2026, 5:45 p.m. |
Created at: March 1, 2026, 7:56 p.m.