Triple
T22632669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adham |
E558592
|
entity |
| Predicate | hasNameForm |
P19207
|
FINISHED |
| Object | Adham |
—
|
NE NERFINISHED |
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: Adham | Statement: [Adham, hasNameForm, Adham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adham Context triple: [Adham, hasNameForm, Adham]
-
A.
Adham
chosen
Adham is a character from Naguib Mahfouz’s novel "Children of Gebelawi," depicted as one of the early, foundational figures in the allegorical family saga centered on the patriarch Gebelawi.
-
B.
Sadaham
Sadaham was a renowned early member of the Silla Hwarang youth elite, celebrated in Korean history for his loyalty, martial prowess, and exemplary virtue.
-
C.
Al-Amuddin
Al-Amuddin is a transliteration variant of the Arabic surname Alamuddin, notably associated with the prominent international human rights lawyer Amal Clooney (née Alamuddin).
-
D.
Fattah
Fattah is the surname of Chaka Fattah, a former U.S. Congressman from Pennsylvania known for his long tenure in the House of Representatives and subsequent corruption conviction.
-
E.
Hammad
Hammad is a character in the novel "Falling Man," which explores the aftermath of the September 11 attacks.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245467d9881908d6985bd0db7a1f1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1700ab4308190a16b0a1b2a0210fd |
completed | April 29, 2026, 2:42 a.m. |
Created at: April 17, 2026, 3:02 p.m.