Triple
T33774482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wai Lin |
E865473
|
entity |
| Predicate | appearsInFranchiseEntryNumber |
P191981
|
FINISHED |
| Object | 18 (Eon James Bond film series) |
—
|
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: 18 (Eon James Bond film series) | Statement: [Wai Lin, appearsInFranchiseEntryNumber, 18 (Eon James Bond film series)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appearsInFranchiseEntryNumber Context triple: [Wai Lin, appearsInFranchiseEntryNumber, 18 (Eon James Bond film series)]
-
A.
appearsInSeriesEntryNumber
chosen
Indicates the specific installment or sequence number within a series in which an entity appears.
-
B.
composerOfFranchiseEntryNumber
Indicates that one entity is the composer responsible for the music of a specific numbered entry within a media franchise.
-
C.
portrayedInFranchise
Indicates that an entity is depicted as a character or element within a specific media franchise.
-
D.
appearsInFranchiseEra
Indicates that an entity (such as a work, character, or element) is part of or occurs within a specific era or phase of a larger franchise.
-
E.
appearsIn
Indicates that an entity is present, featured, or occurs within a particular context, work, or medium.
- 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_69f3498df6f88190bf9647ea4e4a956e |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fda5003cdc8190a558501271389912 |
completed | May 8, 2026, 8:55 a.m. |
| PD | Predicate disambiguation | batch_69fda05bfc2c819096821a5300e9bb24 |
completed | May 8, 2026, 8:35 a.m. |
Created at: May 1, 2026, 1:45 a.m.