Triple
T15752572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wish You Well |
E381881
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Alano Miller |
E1160365
|
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: Alano Miller | Statement: [Wish You Well, starring, Alano Miller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alano Miller Context triple: [Wish You Well, starring, Alano Miller]
-
A.
Alano Miller
chosen
Alano Miller is an American actor best known for his role as Cato on the television series "Underground."
-
B.
Dan Miller
Dan Miller is a central character in the 2007 horror film "The Mist," known as a pragmatic and skeptical local who becomes a key figure in the tense human conflicts that arise when townspeople are trapped in a supermarket by a mysterious, deadly fog.
-
C.
Dan Miller
Dan Miller is an American singer best known as a member of the early 2000s boy band O-Town formed on the reality TV show "Making the Band."
-
D.
Dale Miller
Dale Miller is a prominent logician and computer scientist known for his influential work in proof theory, logic programming, and automated reasoning.
-
E.
Al Miller
Al Miller is an American soccer coach best known for his leadership roles with early North American professional teams, including the Dallas Tornado.
- 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_69d86d9e6b44819085d1f6a969ecb74c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e05030e31081908c307a8dc7067db4 |
completed | April 16, 2026, 2:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff9094b4008190bb5c65fa2bd0f0b5 |
completed | May 9, 2026, 7:52 p.m. |
Created at: April 10, 2026, 4:47 a.m.