Triple
T14413591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Underwater |
E357390
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Todd E. Miller |
E330755
|
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: Todd E. Miller | Statement: [Underwater, editedBy, Todd E. Miller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Todd E. Miller Context triple: [Underwater, editedBy, Todd E. Miller]
-
A.
Todd E. Miller
chosen
Todd E. Miller is a film editor known for his work on major action movies, including "Rambo: Last Blood."
-
B.
Ron Miller
Ron Miller was an American songwriter best known for penning classic Motown hits, including the standard "For Once in My Life."
-
C.
Ron Miller
Ron Miller is an American artist and illustrator renowned for his work in science fiction and astronomical art.
-
D.
Ron Miller
Ron Miller was an American film and television producer and former president and CEO of The Walt Disney Company, known for overseeing numerous Disney projects in the 1970s and 1980s.
-
E.
Jeffrey L. Miller
Jeffrey L. Miller is a linguist known for his descriptive work on the grammar of the West Coast Bajau language.
- 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_69d82793421c8190861eb0e673b085de |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de90cb3c708190822f5506ebf7ee9d |
completed | April 14, 2026, 7:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdfb73334c8190a96a92d199c3b101 |
completed | May 8, 2026, 3:04 p.m. |
Created at: April 10, 2026, 1:17 a.m.