Triple
T5042279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Long Goodbye (1973 film) |
E113571
|
entity |
| Predicate | filmSeriesCharacter |
P12208
|
FINISHED |
| Object | Philip Marlowe |
E92742
|
NE FINISHED |
How this triple was built (3 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: Philip Marlowe | Statement: [The Long Goodbye (1973 film), filmSeriesCharacter, Philip Marlowe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Philip Marlowe Context triple: [The Long Goodbye (1973 film), filmSeriesCharacter, Philip Marlowe]
-
A.
Philip Marlowe
chosen
Philip Marlowe is a hardboiled, wisecracking private detective created by Raymond Chandler and featured in a series of classic American crime novels and film noir adaptations.
-
B.
Philip Marlow
Philip Marlow is the fictional, psychologically complex mystery writer and patient at the center of Dennis Potter’s television serial "The Singing Detective," where his hallucinations and noir fantasies intertwine with his real-life illness.
-
C.
Sam Spade
Sam Spade is a hard-boiled private detective and the iconic protagonist of Dashiell Hammett’s novel "The Maltese Falcon," widely regarded as a defining figure in American noir fiction.
-
D.
J. J. Gittes
J. J. Gittes is the cynical yet principled private investigator portrayed by Jack Nicholson in the classic neo-noir film "Chinatown."
-
E.
Mike Hammer
Mike Hammer is a hard-boiled, tough-as-nails private detective created by author Mickey Spillane, known for his violent methods and appearances in numerous crime novels and film adaptations.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmSeriesCharacter Context triple: [The Long Goodbye (1973 film), filmSeriesCharacter, Philip Marlowe]
-
A.
featuresCharactersFrom
Indicates that one entity (such as a work or production) includes or presents characters originating from another entity.
-
B.
filmSeries
Indicates that a film is part of, or associated with, a larger film series or franchise.
-
C.
franchiseCharacter
Indicates a relationship where a character belongs to, appears in, or is part of a particular media franchise.
-
D.
characterIn
chosen
Indicates that an entity appears as a character within a specified work, story, or narrative.
-
E.
portrayedInFranchise
Indicates that an entity is depicted as a character or element within a specific media franchise.
- F. None of above.
Provenance (4 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_69bd44384298819089c49e7c330ec7b8 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd73df8f7481909a8b86c4ae69aab9 |
completed | March 20, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bea47c5f808190821d7f708003a07d |
completed | March 21, 2026, 2 p.m. |
| PD | Predicate disambiguation | batch_69bd71529d608190a53470ba6c14bb1d |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:37 p.m.