Triple
T34006502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Los Bandoleros |
E871979
|
entity |
| Predicate | franchiseChronologyPosition |
P10630
|
FINISHED |
| Object | prequel to Fast & Furious (2009 film) |
—
|
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: prequel to Fast & Furious (2009 film) | Statement: [Los Bandoleros, franchiseChronologyPosition, prequel to Fast & Furious (2009 film)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: franchiseChronologyPosition Context triple: [Los Bandoleros, franchiseChronologyPosition, prequel to Fast & Furious (2009 film)]
-
A.
franchiseEra
Indicates the specific historical or operational period within which a franchise’s activities, rights, or identity are defined.
-
B.
chronologicalPosition
chosen
Indicates the relative ordering of one event or entity in time with respect to another.
-
C.
franchiseStart
Indicates the point in time or event at which a franchise or franchising relationship is initiated or begins.
-
D.
franchiseDebut
Indicates the first appearance or introduction of an entity within a particular franchise or series.
-
E.
franchiseLongevity
Indicates the duration or length of time that a franchise has existed or been in operation.
- 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_69f349a08848819084b348d64c1879c3 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f71362f1448190985a80ce7af475cb |
completed | May 3, 2026, 9:20 a.m. |
| PD | Predicate disambiguation | batch_69f7127884388190884f23d181a65d19 |
completed | May 3, 2026, 9:16 a.m. |
Created at: May 1, 2026, 1:50 a.m.