Triple
T15664416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khalid Abdalla |
E377150
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Khalid Abdalla |
E377150
|
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: Khalid Abdalla | Statement: [Khalid Abdalla, name, Khalid Abdalla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Khalid Abdalla Context triple: [Khalid Abdalla, name, Khalid Abdalla]
-
A.
Khalid Abdalla
chosen
Khalid Abdalla is a British-Egyptian actor and activist best known for his roles in films such as "United 93," "The Kite Runner," and "Green Zone."
-
B.
Abdalla Khalil
Abdalla Khalil was a Sudanese politician who served as Prime Minister of Sudan in the late 1950s.
-
C.
Mansour Khalid
Mansour Khalid was a prominent Sudanese politician, diplomat, and intellectual who served in senior government positions and played a key role in Sudan’s modern political history.
-
D.
Abdullah Ensour
Abdullah Ensour is a Jordanian economist and politician who served as the country's prime minister in the 2010s.
-
E.
Mohamed al-Haddad
Mohamed al-Haddad is a Libyan military officer who has served as a senior commander in forces aligned with the internationally recognized Government of National Accord during the country’s recent civil conflict.
- 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_69d85cd2e28481909d4e975bee20872f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04f0f4df08190ad2c5d78e435d8eb |
completed | April 16, 2026, 2:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff679ff4648190a2f05d6445fa59df |
completed | May 9, 2026, 4:58 p.m. |
Created at: April 10, 2026, 4:16 a.m.