Triple
T12907608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nine Lives Tour |
E308766
|
entity |
| Predicate | supportOf |
P17585
|
FINISHED |
| Object | Nine Lives |
E308757
|
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: Nine Lives | Statement: [Nine Lives Tour, supportOf, Nine Lives]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nine Lives Context triple: [Nine Lives Tour, supportOf, Nine Lives]
-
A.
Nine Lives
"Nine Lives" is a 2005 independent drama film directed by Rodrigo García, composed of nine interwoven vignettes that explore the emotional lives of different women.
-
B.
Nine Lives
"Nine Lives" is a 1986 blues-rock album by American singer-songwriter and guitarist Bonnie Raitt.
-
C.
Nine Lives
"Nine Lives" is a 1979 rock album by American band REO Speedwagon, marking their eighth studio release and showcasing their late-1970s hard rock sound.
-
D.
Nine Lives
chosen
"Nine Lives" is a 1997 hard rock album by American band Aerosmith, known for its energetic sound and singles like "Falling in Love (Is Hard on the Knees)" and "Pink."
-
E.
Los Gatos
Los Gatos is an affluent town in California’s Silicon Valley known for its historic downtown, upscale residential neighborhoods, and proximity to major tech companies.
- 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_69d7bdf92b588190acdf2a2291ac4590 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9719d4d1c8190a2c4f362e1772a73 |
completed | April 10, 2026, 9:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c0e7e9fc8190ad065a587c6c45dd |
completed | May 3, 2026, 3:28 a.m. |
Created at: April 9, 2026, 5:41 p.m.