Triple
T23412714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marion Morrison |
E560119
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Ethan Wayne |
E635787
|
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 Wayne | Statement: [Marion Morrison, child, Ethan Wayne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ethan Wayne Context triple: [Marion Morrison, child, Ethan Wayne]
-
A.
Ethan Wayne
chosen
Ethan Wayne is an American actor and film producer best known as the son of legendary Western star John Wayne and for managing his father's legacy.
-
B.
Ethan Van der Ryn
Ethan Van der Ryn is an Academy Award–winning sound designer renowned for his innovative work on major films, including the A Quiet Place series.
-
C.
Ethan Erwin
Ethan Erwin is a film producer best known for his work on the horror prequel "Orphan: First Kill."
-
D.
Ethan Weston
Ethan Weston is a fictional character from the television series "Thirtysomething," depicted as the young son of Elliot and Nancy Weston.
-
E.
Ethan Lawrence
Ethan Lawrence is a British actor best known for his comedic roles in television series such as "Bad Education."
- 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_69e2454b3a5881909c64773dc8a5d289 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a5124a54819087a7ae2f8a5b3dc0 |
completed | April 29, 2026, 6:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c679b72888190b9c25ca700f60098 |
completed | May 19, 2026, 1:37 p.m. |
Created at: April 17, 2026, 5:38 p.m.