Triple
T4991105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Syed Ameer Ali |
E112130
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Syed |
E303381
|
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: Syed | Statement: [Syed Ameer Ali, familyName, Syed]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Syed Context triple: [Syed Ameer Ali, familyName, Syed]
-
A.
Naeem
Naeem is a person whose name appears as a distinct part or component within the broader entity referred to as "i."
-
B.
Najm Hosain Syed
Najm Hosain Syed is a prominent Pakistani writer, critic, and playwright renowned for his influential contributions to modern Punjabi literature and literary criticism.
-
C.
Hussain
chosen
Hussain is a common given name and surname of Arabic origin, widely used in Muslim communities around the world.
-
D.
Rashid
Rashid is one of the child mascots created to represent the themes of innovation and optimism at Expo 2020 Dubai.
-
E.
Rashid
Rashid is a common male given name of Arabic origin meaning "rightly guided" or "wise."
- 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_69bd441be7bc8190b530362d427b97d2 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd728141d48190a0713e6d33c50fb6 |
completed | March 20, 2026, 4:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be8a282dd08190a29b92e8e825a3bb |
completed | March 21, 2026, 12:08 p.m. |
Created at: March 20, 2026, 1:34 p.m.