Triple
T7805193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mahathir Mohamad |
E180531
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Mohamad |
E638039
|
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: Mohamad | Statement: [Mahathir Mohamad, familyName, Mohamad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mohamad Context triple: [Mahathir Mohamad, familyName, Mohamad]
-
A.
Mohamad
chosen
Mohamad is a masculine given name of Arabic origin, commonly used as a variant spelling of Muhammad.
-
B.
Ahmad
Ahmad is the narrator of the film "Soul Food," providing the story’s perspective and emotional throughline.
-
C.
Muhammad Akbar
Muhammad Akbar was a Mughal prince and son of Emperor Aurangzeb who is known for rebelling against his father and seeking refuge at the court of the Maratha leader Sambhaji and later in Persia.
-
D.
Saifuddin
Saifuddin is an honorific title historically associated with Muslim rulers and elites, signifying "Sword of the Faith."
-
E.
Achmed Abdullah
Achmed Abdullah was a Russian-born American writer and screenwriter known for his exotic adventure tales and contributions to early Hollywood cinema.
- 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_69ca827e50cc8190a92a733577184938 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69caf63838b88190a085756db9ca25c4 |
completed | March 30, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5a3bd2e481908e3d3906755b5b7a |
completed | March 31, 2026, 5:23 a.m. |
Created at: March 30, 2026, 4:35 p.m.