Triple
T10435104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rex |
E246016
|
entity |
| Predicate | shortFormOf |
P43
|
FINISHED |
| Object | Rexford |
E483047
|
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: Rexford | Statement: [Rex, shortFormOf, Rexford]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rexford Context triple: [Rex, shortFormOf, Rexford]
-
A.
Rexford
chosen
Rexford is a masculine given name of English origin, historically borne by several notable American figures including economist and New Deal planner Rexford G. Tugwell.
-
B.
Conyers
Conyers is a small city in Rockdale County, Georgia, that functions as an outer suburb within the greater Atlanta metropolitan area.
-
C.
Endicott
Endicott is a masculine given name of English origin, notably borne by figures such as American politician Endicott Peabody.
-
D.
Richmond, New York
Richmond, New York is a small rural town in Ontario County known for its Finger Lakes scenery and outdoor recreation opportunities.
-
E.
Tompkins
Tompkins is a surname most notably associated with Daniel D. Tompkins, the fourth governor of New York and seventh vice president of the United States.
- 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_69d381bf3dc08190bf35a2643e4e8f22 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea67344c81909984ab99b0ef1e64 |
completed | April 7, 2026, 11:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d87ec1a0908190b5369ad55cf2bcb1 |
completed | April 10, 2026, 4:38 a.m. |
Created at: April 6, 2026, 12:14 p.m.