Triple
T14359583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goo |
E356060
|
entity |
| Predicate | hasSingle |
P3282
|
FINISHED |
| Object | Dirty Boots |
E1094868
|
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: Dirty Boots | Statement: [Goo, hasSingle, Dirty Boots]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dirty Boots Context triple: [Goo, hasSingle, Dirty Boots]
-
A.
Dirty Boots
chosen
"Dirty Boots" is a song by the American alternative rock band Goo Goo Dolls, known for its gritty guitar sound and emotionally charged lyrics.
-
B.
Big Boots
"Big Boots" is a song performed by Elvis Presley, best known from its appearance in the 1960 musical film and soundtrack album *G.I. Blues*.
-
C.
Get On Your Boots
"Get On Your Boots" is a rock song by Irish band U2, released as the lead single from their 2009 album "No Line on the Horizon."
-
D.
Big for Your Boots
"Big for Your Boots" is a hit grime single by British rapper Stormzy, known for its aggressive delivery, catchy hook, and role in cementing his mainstream breakthrough.
-
E.
Knockin' Boots
"Knockin' Boots" is a country song by American singer Luke Bryan, released as a single from his album "Born Here Live Here Die Here."
- 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_69d82790a7e08190877e2d349b2e8d8e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8f54bfb08190a27c0d12731acec2 |
completed | April 14, 2026, 7:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd550ca6b88190b76cd486bdd66fdf |
completed | May 8, 2026, 3:14 a.m. |
Created at: April 10, 2026, 1:15 a.m.