Triple
T23540413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arjay Smith |
E577728
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Roswell |
—
|
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: Roswell | Statement: [Arjay Smith, notableWork, Roswell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roswell Context triple: [Arjay Smith, notableWork, Roswell]
-
A.
Roswell
Roswell is a city in southeastern New Mexico best known for its association with the 1947 UFO incident and its strong aerospace and military presence.
-
B.
Roswell
Roswell is a masculine given name of English origin, most notably borne by figures such as American lawyer and defense official Roswell Gilpatric.
-
C.
Roswell
Roswell is a suburban city in the Atlanta metropolitan area known for its historic district, affluent neighborhoods, and Chattahoochee River recreation.
-
D.
Roswell
chosen
Roswell is an American science fiction television series that follows a group of teenage human–alien hybrids navigating life, love, and secrecy in the town of Roswell, New Mexico.
-
E.
Roswell, New Mexico
Roswell, New Mexico is a city best known for its association with the 1947 UFO incident and its role as a regional economic and cultural center in southeastern New Mexico.
- 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_69e245f9d5d08190a4a20004e1784e20 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1ae1a66b88190811b38523ea606fe |
completed | April 29, 2026, 7:07 a.m. |
Created at: April 17, 2026, 6:10 p.m.