Triple
T21923309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Emerson |
E541375
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Emerson |
—
|
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: Emerson | Statement: [William Emerson, familyName, Emerson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emerson Context triple: [William Emerson, familyName, Emerson]
-
A.
Emerson
Emerson was the former name of the city now known as Frisco, Texas.
-
B.
Emerson
chosen
Emerson is a surname of English origin borne by numerous notable figures across politics, arts, and entertainment.
-
C.
Emerson
Emerson is a small city in northwestern Georgia, United States, known for its proximity to Lake Allatoona and recreational facilities.
-
D.
Emerson
Emerson is a town in Manitoba, Canada, located at a key border crossing between Canada and the United States.
-
E.
Emerson
Emerson is a station on the MBTA's Route 75 bus line in the Boston metropolitan area.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c47d74488190a15119108794a307 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1233d096c8190af0d7cd21879c91b |
completed | April 28, 2026, 9:14 p.m. |
Created at: April 16, 2026, 7:45 p.m.