Triple
T13687070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zaytoun |
E328158
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Fahed |
E138951
|
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: Fahed | Statement: [Zaytoun, mainCharacter, Fahed]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fahed Context triple: [Zaytoun, mainCharacter, Fahed]
-
A.
Fahd
chosen
Fahd is a male given name of Arabic origin, notably borne by King Fahd of Saudi Arabia.
-
B.
Fathi
Fathi is an Arabic masculine given name commonly used in the Middle East and North Africa.
-
C.
Hamed
Hamed is a masculine given name commonly used in Arabic-speaking and Muslim-majority cultures.
-
D.
Fazl
Fazl is the given name of Fazl-e-Haq Khairabadi, a 19th-century Indian Islamic scholar, philosopher, and prominent figure in the Indian Rebellion of 1857.
-
E.
Fayez
Fayez is an Arabic male given name commonly used in the Middle East and North Africa, meaning "victorious" or "successful."
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc670968881908e2b4fdf656c7285 |
completed | April 12, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d4c52fc8190a93d05c24a8d1513 |
completed | May 3, 2026, 7:09 p.m. |
Created at: April 9, 2026, 9:53 p.m.