Triple
T5548583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mahmoud |
E145469
|
entity |
| Predicate | relatedName |
P3889
|
FINISHED |
| Object | Hamid |
E169947
|
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: Hamid | Statement: [Mahmoud, relatedName, Hamid]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hamid Context triple: [Mahmoud, relatedName, Hamid]
-
A.
Hamid
chosen
Hamid is a common Arabic-origin surname used by various notable individuals across the Muslim world and diaspora.
-
B.
Hamed
Hamed is a masculine given name commonly used in Arabic-speaking and Muslim-majority cultures.
-
C.
حسين
حسين هو اسم علم عربي شائع يُستخدم غالباً للذكور ويحمل دلالات دينية وتاريخية بارزة في الثقافة الإسلامية.
-
D.
Khalilullah
Khalilullah is an honorific title meaning "Friend of God," traditionally associated with the prophet Ibrahim (Abraham) in Islamic tradition.
-
E.
Kifayatullah
Kifayatullah was the architect responsible for designing the historic Bara Imambara complex in Lucknow, India.
- 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_69c008fb879c81909f5bfa56fadc1d46 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01fe143ec8190bb67d2530c92a419 |
completed | March 22, 2026, 4:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0282dd7408190ad762fca9ff5e04b |
completed | March 22, 2026, 5:34 p.m. |
Created at: March 22, 2026, 3:35 p.m.