Triple
T12087666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeremy Miller |
E287849
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Jeremy Miller |
E287849
|
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: Jeremy Miller | Statement: [Jeremy Miller, name, Jeremy Miller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeremy Miller Context triple: [Jeremy Miller, name, Jeremy Miller]
-
A.
Jeremy Miller
chosen
Jeremy Miller is an American actor best known for playing Ben Seaver on the 1980s sitcom "Growing Pains."
-
B.
Logan Miller
Logan Miller is an American actor known for his roles in films such as "Before I Fall" and various television series.
-
C.
Cody Miller
Cody Miller is an American competitive swimmer and Olympic medalist specializing in breaststroke events.
-
D.
Jacob Miller
Jacob Miller was a prominent Jamaican reggae singer and frontman of the band Inner Circle, known for his powerful voice and charismatic stage presence.
-
E.
Joshua John Miller
Joshua John Miller is an American actor, screenwriter, and director known for roles in 1980s horror and cult films and for co-writing the acclaimed horror film "The Final Girls."
- 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_69d6ab4964708190850585628b287b0c |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d91514c78c8190bc1cd569e524e8b4 |
completed | April 10, 2026, 3:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64b8205a481909cf8cf6fb35b9509 |
completed | May 2, 2026, 7:07 p.m. |
Created at: April 8, 2026, 9:48 p.m.