Triple
T21211071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rush Hour Productions |
E522718
|
entity |
| Predicate | flagshipFranchiseDebutDecade |
P141344
|
FINISHED |
| Object | 1990s |
—
|
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: 1990s | Statement: [Rush Hour Productions, flagshipFranchiseDebutDecade, 1990s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: flagshipFranchiseDebutDecade Context triple: [Rush Hour Productions, flagshipFranchiseDebutDecade, 1990s]
-
A.
franchiseDebut
Indicates the first appearance or introduction of an entity within a particular franchise or series.
-
B.
franchiseStartDecade
chosen
Indicates the decade in which a franchise first began or was established.
-
C.
foundedAsFranchiseYear
Indicates the year in which an entity was established specifically as a franchise.
-
D.
franchiseStartSeason
Indicates the season in which a particular franchise or series first began or was introduced.
-
E.
franchiseEra
Indicates the specific historical or operational period within which a franchise’s activities, rights, or identity are defined.
- 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_69e0b5112d8881909510b2dcdc93106d |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7346eb20c8190aeb3c0cc0a24aaf9 |
completed | April 21, 2026, 8:25 a.m. |
| PD | Predicate disambiguation | batch_69e5f6094e3c81909ee9699e00d371f7 |
completed | April 20, 2026, 9:46 a.m. |
Created at: April 16, 2026, 3:37 p.m.