Triple
T23318981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USNS Littlehales (T-AGS-52) |
E590793
|
entity |
| Predicate | successorNameInService |
P151852
|
FINISHED |
| Object | NOAAS Thomas Jefferson (S 222) |
—
|
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: NOAAS Thomas Jefferson (S 222) | Statement: [USNS Littlehales (T-AGS-52), successorNameInService, NOAAS Thomas Jefferson (S 222)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: successorNameInService Context triple: [USNS Littlehales (T-AGS-52), successorNameInService, NOAAS Thomas Jefferson (S 222)]
-
A.
successorFullName
Indicates that one entity is the full name of the successor of another entity (e.g., the person or role that follows it).
-
B.
successorNameInCanadianService
Indicates that the object is the name of the entity that succeeded the subject in a specific Canadian service role or designation.
-
C.
successorNameInUS
Indicates that the object is the name of the entity that succeeds the subject in the United States context.
-
D.
nicknameOfSuccessor
Indicates that one entity is a nickname or informal name used to refer to another entity that is its successor.
-
E.
successorOfficeHolder
Indicates that one office holder directly follows another in occupying the same official position.
- 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_69e25d1d32188190948eb76909d1dcc3 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1978372948190bad066893c4e0768 |
completed | April 29, 2026, 5:30 a.m. |
| PD | Predicate disambiguation | batch_69effcf8ca2c8190887d4f4656617d21 |
completed | April 28, 2026, 12:19 a.m. |
| PDg | Predicate description generation | batch_69f01d88b4ec8190a2a17a88e0eda178 |
completed | April 28, 2026, 2:38 a.m. |
Created at: April 17, 2026, 5:07 p.m.