Triple
T2829347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Charles Fields |
E62198
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Fields |
E121550
|
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: Fields | Statement: [John Charles Fields, familyName, Fields]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fields Context triple: [John Charles Fields, familyName, Fields]
-
A.
Fields
chosen
Fields is a common English surname borne by numerous notable individuals across diverse fields such as entertainment, sports, and academia.
-
B.
Field
Field is a common English surname borne by numerous notable individuals across business, politics, sports, and the arts.
-
C.
Regions Field
Regions Field is a modern minor league baseball stadium in Birmingham, Alabama, serving as the home of the Birmingham Barons.
-
D.
Fields Corner
Fields Corner is a rapid transit station in Dorchester, Boston, serving as a key stop on the Massachusetts Bay Transportation Authority’s Red Line.
-
E.
Fieldlink
Fieldlink was an early digital payments and security startup co-founded by Max Levchin that later evolved into the company behind PayPal.
- 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_69ab4c3c39188190955b9c49d98463d8 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdebbde4881908dfa78e28c7018e0 |
completed | March 7, 2026, 8:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afceb4f3ec8190987afb7a2ac302e2 |
completed | March 10, 2026, 7:56 a.m. |
Created at: March 6, 2026, 10:01 p.m.