Triple
T38449609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Glorious Trail |
E912132
|
entity |
| Predicate | featuresStuntWorkBy |
P45832
|
FINISHED |
| Object | Ken Maynard |
E265579
|
NE 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: Ken Maynard | Statement: [The Glorious Trail, featuresStuntWorkBy, Ken Maynard]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresStuntWorkBy Context triple: [The Glorious Trail, featuresStuntWorkBy, Ken Maynard]
-
A.
featuresStuntShow
Indicates that something includes or presents a stunt show as part of its offerings or content.
-
B.
hasStunts
chosen
Indicates that one entity performs, includes, or is associated with stunt actions for another entity or context.
-
C.
featuresWorkType
Indicates that an entity includes, supports, or is characterized by a particular type or category of work.
-
D.
featuresStar
Indicates that one entity prominently includes or showcases another entity as a main star or featured performer.
-
E.
featuresFreestylesOver
Indicates that one musical work includes freestyle performances delivered over the instrumental or beat of another work.
- F. None of above.
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_69f76e84e2dc81908badf05b3aafa9ea |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a421bd2a2388190a480061e49a7e9c0 |
completed | June 29, 2026, 7:16 a.m. |
| PD | Predicate disambiguation | batch_6a037a1e32108190897356d6a7fed879 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:31 p.m.