Triple
T1559092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duke Snider |
E33277
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Edwin |
E481
|
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: Edwin | Statement: [Duke Snider, givenName, Edwin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edwin Context triple: [Duke Snider, givenName, Edwin]
-
A.
Edwin
chosen
Edwin is a masculine given name of Old English origin meaning "rich friend" or "prosperous friend."
-
B.
Everard
Everard is a masculine given name of Old English origin, historically meaning “brave boar” or “strong as a wild boar.”
-
C.
Jeffrey
Jeffrey is a masculine given name of Germanic origin, commonly used in English-speaking countries.
-
D.
Adelbert
Adelbert is a masculine given name of German origin, historically borne by figures such as the poet and naturalist Adelbert von Chamisso.
-
E.
Kenneth
Kenneth is the formal given name of American country music singer, songwriter, and actor Kenny Rogers.
- 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_69a885ef9cf48190b0af0f5ce3d02231 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa621102cc81909c5b777a105fc91c |
completed | March 6, 2026, 5:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad4691cf5081909768f619b7a8a940 |
completed | March 8, 2026, 9:51 a.m. |
Created at: March 4, 2026, 7:27 p.m.