Triple
T25987086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maggie Rhee (reluctant, Dead City) |
E646230
|
entity |
| Predicate | partnershipNature |
P161251
|
FINISHED |
| Object | begrudging |
—
|
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: begrudging | Statement: [Maggie Rhee (reluctant, Dead City), partnershipNature, begrudging]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partnershipNature Context triple: [Maggie Rhee (reluctant, Dead City), partnershipNature, begrudging]
-
A.
sharesNatureWith
Indicates that two entities possess the same fundamental characteristics, qualities, or essence.
-
B.
sponsorshipNature
Indicates the type or character of a sponsorship relationship that exists between entities.
-
C.
benefitNature
Indicates that one entity provides an advantage, positive impact, or beneficial effect to another entity.
-
D.
hasNature
Indicates that something possesses, exhibits, or is characterized by a particular inherent quality, essence, or fundamental type.
-
E.
relatesToNatureOf
Indicates a general relationship that concerns or characterizes the inherent nature, essence, or fundamental qualities of something.
- 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_69e77e881fc08190ba1c8dc7e2a07f97 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f6135293908190809e255bf6334760 |
completed | May 2, 2026, 3:08 p.m. |
| PD | Predicate disambiguation | batch_69f611a9272881909093360472be832c |
completed | May 2, 2026, 3 p.m. |
| PDg | Predicate description generation | batch_69f6125e54e0819088ee33a20efcc9e6 |
completed | May 2, 2026, 3:03 p.m. |
Created at: April 22, 2026, 8:55 a.m.