Triple
T37337000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USS Dennis (DE-405) |
E926919
|
entity |
| Predicate | namesakeConflict |
P187741
|
FINISHED |
| Object | World War II |
—
|
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: World War II | Statement: [USS Dennis (DE-405), namesakeConflict, World War II]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: namesakeConflict Context triple: [USS Dennis (DE-405), namesakeConflict, World War II]
-
A.
namesakeDistinction
Indicates a relationship where one entity is distinguished from another entity that shares the same or a similar name, clarifying which specific namesake is meant.
-
B.
namesakeFamily
Indicates that one entity is a family or familial group that shares the same name as, or is named after, another entity.
-
C.
namesakeDescription
Indicates that the object provides a descriptive explanation of why or how the subject is considered a namesake of something or someone.
-
D.
namesakeNationality
Indicates that one entity has the same nationality as the person or entity after whom it is named.
-
E.
namesakeStatus
Indicates that one entity serves as the namesake of another, or that two entities share a relationship based on having the same name.
- F. None of above. chosen
Provenance (4 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_69f76eb4e8a881908bd40da28f36fc7e |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb8c38a9688190be524246f5682107 |
completed | May 6, 2026, 6:45 p.m. |
| PD | Predicate disambiguation | batch_69fb5a9c6e0481908565bd849e869b24 |
completed | May 6, 2026, 3:13 p.m. |
| PDg | Predicate description generation | batch_69fb8c37931c81909da038c18ed9add2 |
completed | May 6, 2026, 6:45 p.m. |
Created at: May 3, 2026, 4:16 p.m.