Triple
T8763883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Piano Man |
E208275
|
entity |
| Predicate | lengthSingleEdit |
P81758
|
FINISHED |
| Object | 4:30 |
—
|
LITERAL 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: 4:30 | Statement: [Piano Man, lengthSingleEdit, 4:30]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lengthSingleEdit Context triple: [Piano Man, lengthSingleEdit, 4:30]
-
A.
singleEditLength
Indicates that one entity can be transformed into the other by performing exactly one edit operation (insertion, deletion, or substitution).
-
B.
length
Indicates a measurement relationship where a value specifies how long something is from one end to the other.
-
C.
lengthInWords
Indicates the number of words that make up the length of something, typically a text or expression.
-
D.
singleVersionLength
chosen
Indicates the length or duration associated with a single version of something (e.g., an item, product, or media instance).
-
E.
maximumSegmentLength
Indicates the greatest allowable or observed length of a segment within a given context or structure.
- F. None of above.
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_69ca835df7e08190ac875664cca8f9ca |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5dfdef9881908a7f079d87e8e338 |
completed | March 31, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69cc5c1884bc8190a46e8308db31f7ab |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:40 p.m.