Triple
T12679599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fareed Zakaria |
E302909
|
entity |
| Predicate | areaOfCommentary |
P22246
|
FINISHED |
| Object | Middle East politics |
—
|
LITERAL 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: Middle East politics | Statement: [Fareed Zakaria, areaOfCommentary, Middle East politics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: areaOfCommentary Context triple: [Fareed Zakaria, areaOfCommentary, Middle East politics]
-
A.
typeOfCommentary
Indicates that one piece of commentary is a specific kind or subtype of another, more general category of commentary.
-
B.
spectatorAreaType
Indicates the specific kind or category of area designated for spectators in a venue or event setting.
-
C.
sportCommentated
Indicates that one entity provides live or recorded commentary on a sporting event involving another entity.
-
D.
areaComponent
Indicates that one area is a constituent or sub-area that forms part of a larger area.
-
E.
hasCommentaryOn
chosen
Indicates that one entity provides commentary, explanation, or evaluative remarks about another entity.
- 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_69d7bdee64a08190801c6d470aefd723 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961b1dff48190923290555ece5d89 |
completed | April 10, 2026, 8:46 p.m. |
| PD | Predicate disambiguation | batch_69d960bb64ec8190bd0400cf0cc8b0a7 |
completed | April 10, 2026, 8:42 p.m. |
Created at: April 9, 2026, 5:21 p.m.