Triple
T2326708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Everybody Comes to Rick's |
E48303
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object | Rick Blaine |
E48307
|
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: Rick Blaine | Statement: [Everybody Comes to Rick's, hasCharacter, Rick Blaine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rick Blaine Context triple: [Everybody Comes to Rick's, hasCharacter, Rick Blaine]
-
A.
Rick Blaine
chosen
Rick Blaine is the cynical yet ultimately self-sacrificing American nightclub owner portrayed by Humphrey Bogart in the classic film "Casablanca."
-
B.
Mr. Franks
Mr. Franks is a music producer best known for his work with the hip-hop collective Legend.
-
C.
Felix Unger
Felix Unger is a fictional, fastidious and neurotic neat-freak character best known as one of the mismatched roommates in Neil Simon’s play and subsequent adaptations of "The Odd Couple."
-
D.
Felix Unger
Felix Unger is an Austrian cardiac surgeon and academic known for co-founding and leading the European Academy of Sciences and Arts.
-
E.
Peter Guillam
Peter Guillam is a loyal, resourceful British intelligence officer and close ally of spymaster George Smiley in John le Carré’s espionage novels.
- 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_69a88aa308a88190b0b86c011fda7fce |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc64b62a08190b5a415769ce42645 |
completed | March 7, 2026, 6:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae897004308190bc2e335e9caea2ca |
completed | March 9, 2026, 8:48 a.m. |
Created at: March 4, 2026, 7:50 p.m.