Triple
T16436834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trouble |
E399199
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Trouble |
unclear NED1
|
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: Trouble | Statement: [Trouble, hasPart, Trouble]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trouble Context triple: [Trouble, hasPart, Trouble]
-
A.
Trouble
Trouble is the 1978 debut studio album by British hard rock band Whitesnake, showcasing their early blues-rock sound and establishing them on the rock scene.
-
B.
Trouble
"Trouble" is a song performed by Elvis Presley, featured in the 1958 film and soundtrack album *King Creole*.
-
C.
Trouble
Trouble is a studio album by British singer-songwriter Natalia Kills that showcases her dark pop sound and confessional, rebellious themes.
-
D.
Trouble
"Trouble" is a popular track by the American rock band Try This, known for its energetic style and catchy hooks.
-
E.
Trouble
Trouble was an American rapper known for his gritty storytelling and contributions to Atlanta’s hip-hop scene.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69e32ba49f3481908e7ea62467ef5813 |
completed | April 18, 2026, 6:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0058143cb88190943b951cc8e47a66 |
completed | May 10, 2026, 10:04 a.m. |
Created at: April 10, 2026, 5:10 a.m.