Triple
T38359504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rodman family |
E1046432
|
entity |
| Predicate | typeOfEponym |
P146565
|
FINISHED |
| Object | local landowning family |
—
|
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: local landowning family | Statement: [Rodman family, typeOfEponym, local landowning family]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfEponym Context triple: [Rodman family, typeOfEponym, local landowning family]
-
A.
eponymLatinName
Indicates that one entity is the Latin name that is an eponym derived from or named after another entity.
-
B.
hasEponymCategory
Indicates that one entity serves as the namesake or eponym for the category or class represented by the other entity.
-
C.
eponymFor
Indicates that one entity gives its name to another entity, which is then named after it.
-
D.
hasEponymType
chosen
Indicates that something is associated with or classified by a particular type of eponym (a name derived from a person).
-
E.
eponymProfession
Indicates that a person’s profession is the source of an eponym, i.e., a word or name derived from that professional role.
- 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_69f76e3a94fc81908edc175e8d259e80 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1c850c819088795a7ae59bdeb8 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:31 p.m.