Triple
T14879903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miles Heizer |
E349970
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Miles Heizer |
E349970
|
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: Miles Heizer | Statement: [Miles Heizer, name, Miles Heizer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miles Heizer Context triple: [Miles Heizer, name, Miles Heizer]
-
A.
Miles Heizer
chosen
Miles Heizer is an American actor best known for his roles in the TV series "Parenthood" and "13 Reasons Why."
-
B.
Jerome Hill
Jerome Hill was an early settler and influential figure in southern Idaho whose name was given to Jerome County.
-
C.
Jerome Hill
Jerome Hill was an American experimental filmmaker, artist, and philanthropist known for his support of avant-garde cinema and the arts.
-
D.
Ken Kobland
Ken Kobland is an American filmmaker and video artist known for his long-standing work with experimental theater and performance groups such as The Wooster Group.
-
E.
Peter Hansen
Peter Hansen is a relatively common personal name shared by multiple individuals across various professions, including politics, sports, and the arts.
- 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_69d822ee4f408190b6ac3b2fa434f0df |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded5e622388190b2bf91cd10b9821d |
completed | April 15, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6b5670108190b41ef95dc318be60 |
completed | May 8, 2026, 11:01 p.m. |
Created at: April 10, 2026, 1:55 a.m.