Triple
T33980622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Spy Who Loved Me |
E871266
|
entity |
| Predicate | franchiseCharacterPortrayalNumber |
P176063
|
FINISHED |
| Object | third film with Roger Moore as James Bond |
—
|
LITERAL 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: third film with Roger Moore as James Bond | Statement: [The Spy Who Loved Me, franchiseCharacterPortrayalNumber, third film with Roger Moore as James Bond]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: franchiseCharacterPortrayalNumber Context triple: [The Spy Who Loved Me, franchiseCharacterPortrayalNumber, third film with Roger Moore as James Bond]
-
A.
franchiseAppearanceNumberOfCharacter
chosen
Indicates the specific installment or sequence number within a franchise in which a given character appears.
-
B.
franchiseCharacter
Indicates a relationship where a character belongs to, appears in, or is part of a particular media franchise.
-
C.
portrayedInFranchise
Indicates that an entity is depicted as a character or element within a specific media franchise.
-
D.
franchiseOriginCharacter
Indicates that a character is the original or primary character from which a franchise or its derivative works originate.
-
E.
franchiseCameo
Indicates that an entity makes a brief appearance or reference within a work that belongs to a particular franchise or series.
- F. None of above.
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_69f3499da0188190ab1a4ff06fb06a2a |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f70fb4f18c819099ef6d9177b7d205 |
completed | May 3, 2026, 9:04 a.m. |
| PD | Predicate disambiguation | batch_69f70f3a54d481909ba6bdda3647b761 |
completed | May 3, 2026, 9:02 a.m. |
Created at: May 1, 2026, 1:50 a.m.