Triple
T33262221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Achmed the Dead Terrorist |
E851545
|
entity |
| Predicate | hasOnlinePopularity |
P104296
|
FINISHED |
| Object | YouTube |
—
|
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: YouTube | Statement: [Achmed the Dead Terrorist, hasOnlinePopularity, YouTube]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOnlinePopularity Context triple: [Achmed the Dead Terrorist, hasOnlinePopularity, YouTube]
-
A.
isPopularOnSocialMedia
Indicates that an entity is widely followed, frequently engaged with, or broadly recognized across social media platforms.
-
B.
hasPopularityInfluencedBy
Indicates that the popularity level of one entity is affected or shaped by another specified factor or entity.
-
C.
isGloballyPopular
Indicates that something is widely recognized, liked, or used by people across many different countries or regions.
-
D.
hasPopularityCharacteristic
Indicates that an entity possesses a particular attribute or quality related to its level or type of popularity.
-
E.
isPopularAt
chosen
Indicates that an entity enjoys a high level of recognition, approval, or favor within a specified place, context, or time.
- 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_69f349642dac81908a37ffcc3b976a55 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f78fd5a6388190bfda4bbb2e222e5b |
completed | May 3, 2026, 6:11 p.m. |
| PD | Predicate disambiguation | batch_69f78e2ac3fc819081a45c6841375c8d |
completed | May 3, 2026, 6:04 p.m. |
Created at: May 1, 2026, 1:32 a.m.