Triple
T16135428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barham Salih |
E391512
|
entity |
| Predicate | precededBy |
P97
|
FINISHED |
| Object | Fuad Masum |
E750099
|
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: Fuad Masum | Statement: [Barham Salih, precededBy, Fuad Masum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fuad Masum Context triple: [Barham Salih, precededBy, Fuad Masum]
-
A.
Fuad Masum
chosen
Fuad Masum is an Iraqi Kurdish politician and statesman who served as President of Iraq and was a key figure in the Kurdish nationalist movement.
-
B.
Yaʿqub Burdʿoyo
Yaʿqub Burdʿoyo, better known as Saint Jacob Baradaeus, was a 6th-century Syriac Christian bishop whose extensive missionary work was crucial in organizing and preserving the Syriac Orthodox Church.
-
C.
Mousa Ghani
Mousa Ghani is a supporting character in the action film "Rambo III," serving as an Afghan guide and ally to John Rambo during his mission.
-
D.
Serdar Berdimuhamedow
Serdar Berdimuhamedow is the President of Turkmenistan and the son and successor of longtime leader Gurbanguly Berdimuhamedow.
-
E.
Nazim Nadirov
Nazim Nadirov is an artist best known for designing the official coat of arms of the Republic of Tatarstan.
- 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_69d87f1bb0988190b490d273dbf3fd03 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21a04666c819091f36c5a2497d2e7 |
completed | April 17, 2026, 11:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff2b39bbc8190a2cb77a3f0a329fd |
completed | May 10, 2026, 2:51 a.m. |
Created at: April 10, 2026, 5:01 a.m.