Triple
T13702900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jawbreaker |
E328562
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Ethan Erickson |
E921662
|
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 Erickson | Statement: [Jawbreaker, castMember, Ethan Erickson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ethan Erickson Context triple: [Jawbreaker, castMember, Ethan Erickson]
-
A.
Ethan Erickson
chosen
Ethan Erickson is an American actor known for his work in film and television, including roles in projects like "Afterburn/Aftershock."
-
B.
Ethan Sanderson
Ethan Sanderson is a fictional character from the television sitcom "The Grinder," which centers on the comedic dynamics of a family involved in law and entertainment.
-
C.
Ethan Buckler
Ethan Buckler is an American musician best known as the original bassist for the influential post-rock band Slint.
-
D.
Ethan Hendrickson
Ethan Hendrickson is a writer best known for his work on the song "American Boy."
-
E.
Ethan Mitchell
Ethan Mitchell is a New Zealand track cyclist best known as a world-class sprint specialist and multiple world and Olympic medallist.
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dcad162158819089280ee1e6b5c2cf |
completed | April 13, 2026, 8:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d50f34c8190ac5b4e09ab57baa9 |
completed | May 3, 2026, 7:09 p.m. |
Created at: April 9, 2026, 9:54 p.m.