Triple
T8636803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rodeo |
E204543
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Flying High
Flying High is a rodeo event or segment typically featuring dramatic, high-altitude rides or maneuvers that showcase a rider’s skill and control.
|
E748509
|
NE FINISHED |
How this triple was built (4 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: Flying High | Statement: [Rodeo, hasPart, Flying High]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flying High Context triple: [Rodeo, hasPart, Flying High]
-
A.
Flying High
"Flying High" is a 1931 American musical comedy film featuring vaudeville-style humor and early Hollywood song-and-dance numbers.
-
B.
High Flying Bird
High Flying Bird is a 2019 sports drama film directed by Steven Soderbergh that explores power dynamics and labor issues in professional basketball during an NBA lockout.
-
C.
High Flying Bird
"High Flying Bird" is a song featured on Elton John's 1973 album *Don’t Shoot Me I’m Only the Piano Player*.
-
D.
Fly As Me
"Fly As Me" is a funk and soul-influenced song by the duo Silk Sonic, featured on their collaborative album "An Evening with Silk Sonic."
-
E.
Go Fly
Go Fly was a British low-cost airline launched in the late 1990s that operated short-haul European routes before being absorbed into easyJet.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Flying High Triple: [Rodeo, hasPart, Flying High]
Generated description
Flying High is a rodeo event or segment typically featuring dramatic, high-altitude rides or maneuvers that showcase a rider’s skill and control.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Flying High Target entity description: Flying High is a rodeo event or segment typically featuring dramatic, high-altitude rides or maneuvers that showcase a rider’s skill and control.
-
A.
Flying High
"Flying High" is a 1931 American musical comedy film featuring vaudeville-style humor and early Hollywood song-and-dance numbers.
-
B.
High Flying Bird
High Flying Bird is a 2019 sports drama film directed by Steven Soderbergh that explores power dynamics and labor issues in professional basketball during an NBA lockout.
-
C.
High Flying Bird
"High Flying Bird" is a song featured on Elton John's 1973 album *Don’t Shoot Me I’m Only the Piano Player*.
-
D.
Fly As Me
"Fly As Me" is a funk and soul-influenced song by the duo Silk Sonic, featured on their collaborative album "An Evening with Silk Sonic."
-
E.
Go Fly
Go Fly was a British low-cost airline launched in the late 1990s that operated short-haul European routes before being absorbed into easyJet.
- F. None of above. chosen
Provenance (5 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_69ca834b903c8190add96cc651e1a477 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc476255508190b3e5855232b399a0 |
completed | March 31, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ceccaa77688190bbcf3fbd6af7c195 |
completed | April 2, 2026, 8:08 p.m. |
| NEDg | Description generation | batch_69cece8c4bdc8190988990c675f50f86 |
completed | April 2, 2026, 8:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cecf3a0e78819082cc7c43eceae309 |
completed | April 2, 2026, 8:19 p.m. |
Created at: March 30, 2026, 6:27 p.m.