Triple
T5715995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A. Mitchell Palmer |
E126023
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Palmer |
E46284
|
NE 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: Palmer | Statement: [A. Mitchell Palmer, familyName, Palmer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Palmer Context triple: [A. Mitchell Palmer, familyName, Palmer]
-
A.
Palmer
chosen
Palmer is an English surname borne by numerous notable figures, including politicians, artists, and scientists, and is derived from medieval pilgrims who carried palm branches.
-
B.
Palmer
Palmer is a small city in south-central Alaska known for its agricultural heritage and scenic Matanuska Valley setting.
-
C.
Dawson
Dawson is a common English-language surname of Anglo-Saxon origin, meaning "son of David."
-
D.
Seymour
Seymour is a small unincorporated community and suburban area in eastern Tennessee, situated near Knoxville in the foothills of the Great Smoky Mountains.
-
E.
Seymour
Seymour is a masculine given name of English origin that has been borne by various notable figures in fields such as business, politics, and the arts.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c0082e3d548190950169847b43043b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c024b89b0881908675434fefe54ee8 |
completed | March 22, 2026, 5:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a77d6b081908db6e64c5a361282 |
completed | March 22, 2026, 9:09 p.m. |
Created at: March 22, 2026, 3:46 p.m.