Triple
T16819607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nasr II |
E408850
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Nasr |
E532343
|
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: Nasr | Statement: [Nasr II, givenName, Nasr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nasr Context triple: [Nasr II, givenName, Nasr]
-
A.
Nasr
chosen
Nasr is an ancient Arabian deity, often linked to a vulture or eagle, venerated in parts of pre-Islamic South Arabia.
-
B.
Nassef
Nassef is an Arabic masculine given name commonly used in Egypt and other parts of the Arab world.
-
C.
Zubein
Zubein is a variant form of the given name Zubin, which is used as a personal name in various cultures.
-
D.
Al Huwari
Al Huwari is a locality situated within Libya's remote Kufra region in the southeastern part of the country.
-
E.
Nasar
Nasar is a surname most notably associated with Sylvia Nasar, the economist and author of "A Beautiful Mind."
- 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_69d88394566c8190b3dcbdc72935f7fa |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b2e56b9c8190a35ad9c463954fbf |
completed | April 18, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00b29a3854819099eed580eea5d84d |
completed | May 10, 2026, 4:30 p.m. |
Created at: April 10, 2026, 5:23 a.m.