Triple
T14742347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Johnathan Thurston |
E346379
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Johnathan |
E44008
|
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: Johnathan | Statement: [Johnathan Thurston, givenName, Johnathan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Johnathan Context triple: [Johnathan Thurston, givenName, Johnathan]
-
A.
Johnathon
Johnathon is a masculine given name, most notably borne by American actor and screenwriter Johnathon Schaech.
-
B.
Jonathan
chosen
Jonathan is a common masculine given name of Hebrew origin, meaning "Yahweh has given."
-
C.
Jonathan
Jonathan is the surname of Goodluck Jonathan, the former President of Nigeria.
-
D.
Jeffrey
"Jeffrey" is a comedic stage play by Paul Rudnick that follows a gay man in New York City navigating love and relationships during the height of the AIDS crisis.
-
E.
Jeffrey
Jeffrey is a masculine given name of Germanic origin, commonly used in English-speaking countries.
- 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_69d822e6f1c88190bc494d491a907114 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7367a1c819081082cc355e385fa |
completed | April 14, 2026, 11:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdfb93e94c8190beba605e26d4552c |
completed | May 8, 2026, 3:04 p.m. |
Created at: April 10, 2026, 1:30 a.m.