Triple
T14745095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ethan Suplee |
E346446
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Ethan |
E404204
|
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: Ethan | Statement: [Ethan Suplee, givenName, Ethan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ethan Context triple: [Ethan Suplee, givenName, Ethan]
-
A.
Ethan
chosen
Ethan is a masculine given name of Hebrew origin meaning "strong," "firm," or "enduring," widely used in English-speaking countries.
-
B.
Ethan
Ethan is a fictional character played by American actor Charlie Tahan, known for his roles in film and television dramas.
-
C.
Ethan Mitchell
Ethan Mitchell is a New Zealand track cyclist best known as a world-class sprint specialist and multiple world and Olympic medallist.
-
D.
Ethan Montgomery
Ethan Montgomery is a central human character in W. Bruce Cameron’s “A Dog’s Purpose” series, portrayed as the lifelong companion whose experiences and relationships are followed through the eyes of his devoted dog.
-
E.
Ethan Fisher
Ethan Fisher is one of the sons of prominent American college football coach Jimbo Fisher.
- 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_69dec7d002708190a32a4a45e96fc389 |
completed | April 14, 2026, 11:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0ce843a481908f376172d4a8b70a |
completed | May 8, 2026, 4:18 p.m. |
Created at: April 10, 2026, 1:30 a.m.