Triple
T11426552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hamza al-Ghamdi |
E270765
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | al-Ghamdi |
E270765
|
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: al-Ghamdi | Statement: [Hamza al-Ghamdi, familyName, al-Ghamdi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: al-Ghamdi Context triple: [Hamza al-Ghamdi, familyName, al-Ghamdi]
-
A.
Hamza al-Ghamdi
chosen
Hamza al-Ghamdi was a Saudi national and al-Qaeda operative who participated as one of the suicide hijackers in the September 11, 2001 terrorist attacks in the United States.
-
B.
Ali Hamid
Ali Hamid is a notable individual recognized as a prominent bearer of the surname Hamid.
-
C.
Wail Mohammed al-Shehri
Wail Mohammed al-Shehri was a Saudi national known for being one of the hijackers involved in the September 11, 2001 terrorist attacks in the United States.
-
D.
Ghaith Abdul-Ahad
Ghaith Abdul-Ahad is an Iraqi journalist and war correspondent renowned for his frontline reporting from conflict zones across the Middle East.
-
E.
al-Mardawi
Al-Mardawi was a prominent medieval Hanbali jurist and legal theorist known for his authoritative works on Islamic jurisprudence within the Hanbali school.
- 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_69d6aadeef688190874bcecd88b3dd9b |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d806c000b88190bfaa646b2dc424b7 |
completed | April 9, 2026, 8:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5d36004cc81908222321af88d2903 |
completed | April 20, 2026, 7:18 a.m. |
Created at: April 8, 2026, 9:35 p.m.