Triple
T32007586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USS Mayrant (DD-402) |
E817311
|
entity |
| Predicate | namesakeEra |
P39753
|
FINISHED |
| Object | American Revolutionary War |
—
|
NE NERFINISHED |
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: American Revolutionary War | Statement: [USS Mayrant (DD-402), namesakeEra, American Revolutionary War]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: namesakeEra Context triple: [USS Mayrant (DD-402), namesakeEra, American Revolutionary War]
-
A.
historicalEraOfNaming
chosen
Indicates the historical era or time period during which an entity received its name.
-
B.
eponymEra
Indicates that a time period or era is named after (or defined by association with) a particular person or entity.
-
C.
usedEraName
Indicates that an entity employed or referenced a specific historical or calendrical era name in its dating or designation.
-
D.
subjectHasEra
Indicates that a subject is associated with, defined by, or belongs to a particular historical or temporal era.
-
E.
dynasticEraName
Indicates the named historical period or era associated with a particular dynasty’s rule.
- 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_69f348f9e5d081908cc3f57c4942af52 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b42b267c8190b04727a8099db82f |
completed | May 3, 2026, 2:34 a.m. |
| PD | Predicate disambiguation | batch_69f6b151ad008190836c1bcdec503ce2 |
completed | May 3, 2026, 2:22 a.m. |
Created at: May 1, 2026, 12:15 a.m.