Triple
T5034276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ghazi of Iraq |
E113382
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Ghazi |
E113382
|
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: Ghazi | Statement: [Ghazi of Iraq, givenName, Ghazi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ghazi Context triple: [Ghazi of Iraq, givenName, Ghazi]
-
A.
Cassim
Cassim is Ali Baba’s wealthy but greedy older brother in the classic Middle Eastern folk tale "Ali Baba and the Forty Thieves."
-
B.
Ghazi of Iraq
chosen
Ghazi of Iraq was the second king of the Kingdom of Iraq, a Hashemite monarch who reigned from 1933 until his death in 1939 and was known for his Arab nationalist views and opposition to British influence.
-
C.
Hammad
Hammad is a character in the novel "Falling Man," which explores the aftermath of the September 11 attacks.
-
D.
Mirza
Mirza is a historical noble title of Persian and Central Asian origin, commonly borne by princes and high-ranking members of royal and aristocratic families.
-
E.
Jaffar
Jaffar is the sinister vizier and main antagonist portrayed by Conrad Veidt in the 1940 fantasy film "The Thief of Bagdad."
- 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_69bd44384298819089c49e7c330ec7b8 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd73b8646c8190b3cc20193e4639ee |
completed | March 20, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bea477efec8190a84a0186f5517a43 |
completed | March 21, 2026, 2 p.m. |
Created at: March 20, 2026, 1:36 p.m.