Triple
T34427616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Primary Colors: A Novel of Politics |
E883732
|
entity |
| Predicate | featuresCharacterAnalogOf |
P204128
|
FINISHED |
| Object | Hillary Clinton |
E7583
|
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: Hillary Clinton | Statement: [Primary Colors: A Novel of Politics, featuresCharacterAnalogOf, Hillary Clinton]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresCharacterAnalogOf Context triple: [Primary Colors: A Novel of Politics, featuresCharacterAnalogOf, Hillary Clinton]
-
A.
featuresCharacterWith
Indicates that one entity (such as a work or product) includes or presents a particular character as part of its content.
-
B.
entityCharacteristic
Indicates that an entity possesses, exhibits, or is defined by a particular characteristic or attribute.
-
C.
featuresFictionalElement
Indicates that one entity includes, presents, or incorporates a fictional element (such as an imaginary character, place, object, or concept) as part of its content or composition.
-
D.
artCharacteristics
Indicates a relationship where specific qualities, styles, or features are attributed to a work of art.
-
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. chosen
Provenance (5 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_69f349c3dd2c819092cc9e64809f4a42 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a032b2285ac81908826f311a222c749 |
completed | May 12, 2026, 1:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a370ddd9dd8819090ce73a4ee236075 |
completed | June 20, 2026, 10:02 p.m. |
| PD | Predicate disambiguation | batch_6a032929b8b88190bf7d14d789b38aeb |
completed | May 12, 2026, 1:20 p.m. |
| PDg | Predicate description generation | batch_6a032b21d5b08190bf4690cbf6c1d3de |
completed | May 12, 2026, 1:29 p.m. |
Created at: May 1, 2026, 2 a.m.