Triple
T10811903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dooley Wilson |
E255122
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Dooley |
E255122
|
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: Dooley | Statement: [Dooley Wilson, nickname, Dooley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dooley Context triple: [Dooley Wilson, nickname, Dooley]
-
A.
Dooley
chosen
Dooley is the nickname of American actor and musician Dooley Wilson, best known for playing Sam and performing "As Time Goes By" in the classic film Casablanca.
-
B.
Dooley
Dooley is the family name of silent film actress Nita Naldi, born Mary Dooley, who was known for her vamp roles in early 20th-century cinema.
-
C.
Doyel
Doyel is an alternative spelling or variant form of the surname Doyle, which is of Irish origin.
-
D.
Boggs
Boggs is a surname most notably associated with American politician Hale Boggs, who served as a prominent Democratic leader in the U.S. House of Representatives.
-
E.
Delbert
Delbert is a masculine given name of English origin, often used in the United States during the early to mid-20th century.
- 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_69d6aa61c15c8190a1839550c56e75e1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d733eadda48190b2b1183ee60102cb |
completed | April 9, 2026, 5:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de853692f08190914cbeaf1a558730 |
completed | April 14, 2026, 6:19 p.m. |
Created at: April 8, 2026, 9:18 p.m.