Triple
T13941914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Any Time, Any Place |
E335276
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | janet. (album) |
E74976
|
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: janet. (album) | Statement: [Any Time, Any Place, partOf, janet. (album)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: janet. (album) Context triple: [Any Time, Any Place, partOf, janet. (album)]
-
A.
Janet's Repentance
"Janet's Repentance" is a novella by George Eliot that explores themes of moral struggle, redemption, and social judgment within a provincial English community.
-
B.
JANU
JANU is the Japan Association of National Universities, a representative body that coordinates and advocates for Japan’s national universities.
-
C.
Dammit Janet
"Dammit Janet" is a comedic love song from the cult musical film *The Rocky Horror Picture Show*, sung by Brad as he proposes to Janet.
-
D.
Janet
chosen
Janet is a feminine given name commonly used in English-speaking countries, often associated with notable figures in entertainment and public life.
-
E.
JAN
JAN is the three-letter IATA airport code for Jackson–Medgar Wiley Evers International Airport serving Jackson, Mississippi.
- 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_69d81c6081b88190b53e317c3370c8fe |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2cf6e29881908ddb8efca9a456a3 |
completed | April 14, 2026, 12:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7ce8bbd8c819084703298ed6d9c87 |
completed | May 3, 2026, 10:39 p.m. |
Created at: April 9, 2026, 10:17 p.m.