Triple
T12268869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dexter Filkins |
E292419
|
entity |
| Predicate | notableArticleTopic |
P104147
|
FINISHED |
| Object | U.S. military operations in Iraq |
—
|
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: U.S. military operations in Iraq | Statement: [Dexter Filkins, notableArticleTopic, U.S. military operations in Iraq]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableArticleTopic Context triple: [Dexter Filkins, notableArticleTopic, U.S. military operations in Iraq]
-
A.
notableArticle
Indicates that there exists an article or written work that is especially significant, prominent, or noteworthy in relation to the subject.
-
B.
notableStorySubject
Indicates that the subject is a prominent or central topic, character, or element within a particular story or narrative.
-
C.
subjectNotableFor
Indicates that the subject is especially recognized or distinguished for a particular attribute, achievement, role, or characteristic.
-
D.
notableFor
Indicates that an entity is especially recognized or distinguished for a particular quality, achievement, characteristic, or role.
-
E.
notableCategory
Indicates that an entity is recognized as notable or significant within a particular category or classification.
- F. None of above. chosen
Provenance (4 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_69d6ab6856488190b5d31178d5015f8e |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d9380a5e78819086bd4dfe9a83d1f5 |
completed | April 10, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69d91c4a66cc819083ce6fcaf5042af6 |
completed | April 10, 2026, 3:50 p.m. |
| PDg | Predicate description generation | batch_69d93805cee08190a532ebcf5908e617 |
completed | April 10, 2026, 5:48 p.m. |
Created at: April 8, 2026, 9:52 p.m.