Triple
T34642588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cleaver Greene |
E889600
|
entity |
| Predicate | USAdaptationCounterpart |
P170200
|
FINISHED |
| Object | Keegan Deane |
—
|
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: Keegan Deane | Statement: [Cleaver Greene, USAdaptationCounterpart, Keegan Deane]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: USAdaptationCounterpart Context triple: [Cleaver Greene, USAdaptationCounterpart, Keegan Deane]
-
A.
adaptationCounterpart
chosen
Indicates that one work serves as an adaptation of another, representing a counterpart version derived from or based on the original.
-
B.
USProvides
Indicates that the United States supplies, furnishes, or makes available something (such as aid, resources, services, or support) to another entity.
-
C.
adaptationCountry
Indicates the country in which an adaptation (such as a remake, translation, or localized version) of an original work is produced or set.
-
D.
AmericanPosition
Indicates that an entity holds a position, role, or office specifically within the United States context (e.g., in American institutions, organizations, or governance).
-
E.
U.S.component
Indicates that something is a constituent part, subdivision, or member unit within the United States.
- 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_69f349d724848190b63ad3407e0006d9 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f72292f4388190a72cd79d37a244e7 |
completed | May 3, 2026, 10:25 a.m. |
| PD | Predicate disambiguation | batch_69f72157af108190880317a62e634bb0 |
completed | May 3, 2026, 10:20 a.m. |
Created at: May 1, 2026, 2:04 a.m.