Triple
T27725478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arthur |
E699082
|
entity |
| Predicate | commonInFieldOf |
P7254
|
FINISHED |
| Object | philosophy |
—
|
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: philosophy | Statement: [Arthur, commonInFieldOf, philosophy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commonInFieldOf Context triple: [Arthur, commonInFieldOf, philosophy]
-
A.
commonField
Indicates that two or more entities share at least one field, attribute, or data element in common.
-
B.
commonIn
chosen
Indicates that something frequently occurs, appears, or is found within a specified context, group, or environment.
-
C.
isCommonInProfession
Indicates that something frequently occurs, appears, or is typical within a given profession or occupational field.
-
D.
commonAffiliation
Indicates that two or more entities share the same organizational, institutional, or group affiliation.
-
E.
sharesFieldWith
Indicates that two entities are involved in or associated with the same field, discipline, or area of specialization.
- 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_69ef591012dc8190a6f1ec994f9f7ff7 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f7764ab1fc81909f9348db87bd7692 |
completed | May 3, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69f76905d9c88190b1ee810bc9ab644f |
completed | May 3, 2026, 3:25 p.m. |
Created at: April 27, 2026, 3:09 p.m.