Triple
T8970287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hunter Carson |
E214247
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Carson |
E99758
|
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: Carson | Statement: [Hunter Carson, familyName, Carson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carson Context triple: [Hunter Carson, familyName, Carson]
-
A.
Carson
chosen
Carson is the surname of Rachel Carson, the influential American marine biologist and conservationist whose writings advanced the global environmental movement.
-
B.
Carson
Carson is a suburban city in Los Angeles County, California, known for its diverse residential communities and proximity to major freeways and ports.
-
C.
Carson
Carson is a given name most famously associated with American novelist Carson McCullers, known for her works exploring loneliness and the human condition.
-
D.
Nevin
Nevin is a surname most notably associated with Phil Nevin, a former Major League Baseball player and manager.
-
E.
Chandler
Chandler is a rapidly growing suburban city in the Phoenix metropolitan area known for its technology industry and family-friendly communities.
- 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_69ca839dbf608190a2f5990477115d29 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc67672c108190919ae6ca69b6291f |
completed | April 1, 2026, 12:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc96006e48190978e4ccdedc48b41 |
completed | April 3, 2026, 2:06 p.m. |
Created at: March 30, 2026, 7:02 p.m.