Triple
T3072071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mad Anthony |
E64046
|
entity |
| Predicate | denotesCharacteristicOf |
P662
|
FINISHED |
| Object | Anthony Wayne’s leadership style |
—
|
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: Anthony Wayne’s leadership style | Statement: [Mad Anthony, denotesCharacteristicOf, Anthony Wayne’s leadership style]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: denotesCharacteristicOf Context triple: [Mad Anthony, denotesCharacteristicOf, Anthony Wayne’s leadership style]
-
A.
characterizedBy
chosen
Indicates that one entity possesses a defining quality, feature, or attribute expressed by another entity.
-
B.
genusCharacteristic
Indicates that a particular characteristic or trait is typical of, or defining for, a given genus.
-
C.
languageCharacterizedBy
Indicates that a language is defined or distinguished by a particular feature, property, or characteristic.
-
D.
ownershipCharacteristic
Indicates that one entity possesses a particular quality, attribute, or condition specifically in its role as an owner of another entity.
-
E.
characterFunction
Indicates the role, purpose, or narrative function that a character serves within a story or context.
- 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_69ad857a8aec8190bfdfd9c14554ac5a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada14c8bd881909cf1bb2649ba36db |
completed | March 8, 2026, 4:18 p.m. |
| PD | Predicate disambiguation | batch_69ad9625b30c819099ef9349c91d7b25 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3:02 p.m.