Triple
T31229458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jesse James Rides Again |
E796237
|
entity |
| Predicate | studioSerialBrand |
P171049
|
FINISHED |
| Object | Republic serial |
—
|
NE NERFINISHED |
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: Republic serial | Statement: [Jesse James Rides Again, studioSerialBrand, Republic serial]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: studioSerialBrand Context triple: [Jesse James Rides Again, studioSerialBrand, Republic serial]
-
A.
robotBrand
Indicates that one entity is the brand or manufacturer associated with a given robot.
-
B.
catalogBrand
Indicates that a brand is associated with, or offered within, a particular catalog.
-
C.
manufacturerStatus
Indicates the current operational or business condition of a manufacturer in relation to the product or agreement in question.
-
D.
manufacturerType
Indicates the classification or category of a manufacturer based on its role, characteristics, or production type.
-
E.
brandNameType
Indicates the specific type or category associated with a brand name within a broader branding or naming system.
- F. None of above. chosen
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_69f224da98f88190ab32f690cce5d303 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69c6c833c8190bf5090e970398d33 |
completed | May 3, 2026, 12:53 a.m. |
| PD | Predicate disambiguation | batch_69f696673214819094350e1d2648ef34 |
completed | May 3, 2026, 12:27 a.m. |
| PDg | Predicate description generation | batch_69f6978ec27c8190a488e1f9c2566d38 |
completed | May 3, 2026, 12:32 a.m. |
Created at: April 29, 2026, 9:10 p.m.