Triple
T25643518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zayed |
E642893
|
entity |
| Predicate | popularityInfluence |
P31756
|
FINISHED |
| Object | Sheikh Zayed bin Sultan Al Nahyan |
—
|
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: Sheikh Zayed bin Sultan Al Nahyan | Statement: [Zayed, popularityInfluence, Sheikh Zayed bin Sultan Al Nahyan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: popularityInfluence Context triple: [Zayed, popularityInfluence, Sheikh Zayed bin Sultan Al Nahyan]
-
A.
hasPopularityInfluencedBy
chosen
Indicates that the popularity level of one entity is affected or shaped by another specified factor or entity.
-
B.
popularity
Indicates how widely liked, admired, or favored something or someone is by a group of people.
-
C.
typeOfInfluence
Indicates the specific nature or category of influence that one entity exerts on another.
-
D.
influentialAs
Indicates that one entity has at least as much influence or impact as another entity.
-
E.
influentialFrom
Indicates that one entity has exerted influence on another, contributing to or shaping the latter’s ideas, behavior, or development.
- 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_69e77e7ce28081908b08d65ee6e5c8be |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f62d89b89c8190afb372a8172111e7 |
completed | May 2, 2026, 4:59 p.m. |
| PD | Predicate disambiguation | batch_69f62c1379f08190836c3e02b0c892df |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 21, 2026, 5:48 p.m.