Triple
T872599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Talal of Jordan |
E18846
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Talal |
E106605
|
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: Talal | Statement: [Talal of Jordan, givenName, Talal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Talal Context triple: [Talal of Jordan, givenName, Talal]
-
A.
Talal
chosen
Talal is a masculine given name of Arabic origin commonly used across the Arab world.
-
B.
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.
-
C.
Rashid
Rashid is one of the child mascots created to represent the themes of innovation and optimism at Expo 2020 Dubai.
-
D.
Yusuf
Yusuf is a revered prophet in Islamic tradition, known for his exemplary patience, prophetic dreams, and the Qur’anic narrative of his trials and rise to power in Egypt.
-
E.
Abdullah Hammoud
Abdullah Hammoud is an American politician who became the first Arab American and Muslim mayor of Dearborn, Michigan, known for his progressive policies and advocacy for public health and civil rights.
- 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_69a4938db1f081909bcd1ad2713b6096 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac97d0f88190b67fcb7fc058e4b9 |
completed | March 1, 2026, 9:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7ee0053d88190be8705b42d172ab7 |
completed | March 4, 2026, 8:32 a.m. |
Created at: March 1, 2026, 7:39 p.m.