Triple
T36086733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Freshmen Adjustment 2 |
E1043804
|
entity |
| Predicate | featuresEarlyMaterialOf |
P191773
|
FINISHED |
| Object | Kanye West |
E2159
|
NE 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: Kanye West | Statement: [Freshmen Adjustment 2, featuresEarlyMaterialOf, Kanye West]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresEarlyMaterialOf Context triple: [Freshmen Adjustment 2, featuresEarlyMaterialOf, Kanye West]
-
A.
featuresEarlyVersionOf
Indicates that something includes or presents an earlier or preliminary version of another thing.
-
B.
featuresMaterialFrom
Indicates that one entity incorporates, contains, or is composed of material originating from another entity.
-
C.
featuresEarlyAppearanceBy
chosen
Indicates that something prominently includes or showcases an entity at an early stage or initial part of its sequence, timeline, or presentation.
-
D.
featuresMaterialType
Indicates that an entity is characterized by or incorporates a specific type of material.
-
E.
featuresIn
Indicates that an entity appears or plays a role within another entity, such as a person or element being included in a work, event, or context.
- F. None of above.
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_69f76e32d60c8190ba781ffaaab4aa3d |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a38ddfb44b88190aedba642e6d337af |
completed | June 22, 2026, 7:02 a.m. |
| PD | Predicate disambiguation | batch_6a037a0895b48190acdd88dc10db7be7 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:08 p.m.