Triple
T9968439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yahya Abdul-Mateen II |
E195741
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Yahya |
E81936
|
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: Yahya | Statement: [Yahya Abdul-Mateen II, givenName, Yahya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yahya Context triple: [Yahya Abdul-Mateen II, givenName, Yahya]
-
A.
Yahya
chosen
Yahya is the Islamic prophet identified with John the Baptist, revered for his piety, asceticism, and role in heralding the coming of Prophet Isa (Jesus).
-
B.
Omar
Omar is a masculine given name of Arabic origin meaning "flourishing" or "long-lived," borne by numerous historical and contemporary figures worldwide.
-
C.
Sallah
Sallah is a jovial, resourceful Egyptian excavator and close ally of Indiana Jones who helps him navigate dangerous archaeological adventures.
-
D.
Hassan
Hassan is a key antagonist in Lord Byron’s narrative poem "The Giaour," depicted as a powerful Ottoman leader whose actions drive the poem’s central conflict.
-
E.
Hassan
Hassan is a loyal and selfless Hazara boy whose friendship with Amir and the injustices he endures form the emotional core of the film "The Kite Runner."
- 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_69ca82ebd1288190912f9e4482d1fa35 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb7b683ac8190ac97bd775a860d29 |
completed | April 2, 2026, 12:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d269fc0d20819082bfe0331972e2b6 |
completed | April 5, 2026, 1:56 p.m. |
Created at: March 30, 2026, 8:47 p.m.