Triple
T16439063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gary Lightbody |
E399249
|
entity |
| Predicate | memberOf |
P10
|
FINISHED |
| Object | Tired Pony |
E399263
|
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: Tired Pony | Statement: [Gary Lightbody, memberOf, Tired Pony]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tired Pony Context triple: [Gary Lightbody, memberOf, Tired Pony]
-
A.
Tired Pony
chosen
Tired Pony is an indie/alternative supergroup led by Snow Patrol frontman Gary Lightbody, known for its Americana-influenced, folk-rock sound.
-
B.
Pony Up
Pony Up is a coffee blend produced by the Canadian specialty roaster Kicking Horse Coffee.
-
C.
Side Pony
"Side Pony" is a 2016 soul-pop album by Lake Street Dive that showcases the band's retro-inspired sound, tight musicianship, and charismatic vocals.
-
D.
Let That Pony Run
"Let That Pony Run" is a country song recorded by American singer Pam Tillis, known for its storytelling lyrics and success on the country music charts in the early 1990s.
-
E.
I Have a Pony
I Have a Pony is a stand-up comedy album by deadpan comedian Steven Wright, showcasing his signature surreal one-liners and absurd observational humor.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32ba720a48190b0b412225e993e52 |
completed | April 18, 2026, 6:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004f4971e08190821d6b5aeed05624 |
completed | May 10, 2026, 9:26 a.m. |
Created at: April 10, 2026, 5:10 a.m.