Triple
T22483149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abu Sneineh |
E555815
|
entity |
| Predicate | usedBy |
P260
|
FINISHED |
| Object | Taysir Abu Sneineh |
—
|
NE NERFINISHED |
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: Taysir Abu Sneineh | Statement: [Abu Sneineh, usedBy, Taysir Abu Sneineh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taysir Abu Sneineh Context triple: [Abu Sneineh, usedBy, Taysir Abu Sneineh]
-
A.
Taysir Abu Sneineh
chosen
Taysir Abu Sneineh is a Palestinian politician who has served as the mayor of Hebron in the West Bank.
-
B.
Niemeh Erekat
Niemeh Erekat is the wife of the late Palestinian diplomat and chief negotiator Saeb Erekat.
-
C.
Fathiya al-Najjar
Fathiya al-Najjar is known as the wife of the late Hamas co-founder and leader Abdel Aziz al-Rantisi.
-
D.
Salma Abu Deif
Salma Abu Deif is an Egyptian actress and model known for her roles in contemporary Arabic television series and films.
-
E.
Razan Zaitouneh
Razan Zaitouneh is a prominent Syrian human rights lawyer and activist known for documenting abuses during the Syrian uprising and advocating for democracy and political prisoners.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e53897c819088863779f8c50bb0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15c3b03d881909e286a124c1a2b1c |
completed | April 29, 2026, 1:17 a.m. |
Created at: April 16, 2026, 8:49 p.m.