Triple
T36360841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fayez Rashid Ahmed Hassan al-Qadi Banihammad |
E895485
|
entity |
| Predicate | terroristGroupAffiliation |
P109420
|
FINISHED |
| Object | al-Qaeda |
—
|
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: al-Qaeda | Statement: [Fayez Rashid Ahmed Hassan al-Qadi Banihammad, terroristGroupAffiliation, al-Qaeda]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: terroristGroupAffiliation Context triple: [Fayez Rashid Ahmed Hassan al-Qadi Banihammad, terroristGroupAffiliation, al-Qaeda]
-
A.
terroristOrganization
Indicates that an entity is recognized as a group that plans, supports, or carries out acts of terrorism.
-
B.
hasTerroristOrganization
Indicates that an entity is associated with, belongs to, or functions as a terrorist organization.
-
C.
classifiedAsTerroristBy
Indicates that an entity has been designated or labeled as a terrorist by a specified authority, organization, or actor.
-
D.
associatedWithJihadMovements
chosen
Indicates a relationship where an entity is linked or connected to jihadist movements, whether through support, participation, affiliation, or other forms of involvement.
-
E.
terroristRole
Indicates that an entity plays a specific functional role within a terrorist organization or terrorist activity.
- F. None of above.
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_69f76e5044248190b390d8887dc03254 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c371931c8190afb1d4dd5157f92c |
completed | May 3, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69f7c1b91fd88190ab85afd626603769 |
completed | May 3, 2026, 9:44 p.m. |
Created at: May 3, 2026, 4:09 p.m.