Triple
T20043066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rock and Roll Girlfriend |
E497478
|
entity |
| Predicate | lengthRelative |
P50260
|
FINISHED |
| Object | short |
—
|
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: short | Statement: [Rock and Roll Girlfriend, lengthRelative, short]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lengthRelative Context triple: [Rock and Roll Girlfriend, lengthRelative, short]
-
A.
relativeLength
chosen
Indicates a comparative relationship between entities based on how long they are relative to one another.
-
B.
length
Indicates a measurement relationship where a value specifies how long something is from one end to the other.
-
C.
dimensionOfLength
Indicates that something represents or specifies a measurement along a single spatial extent (a length dimension).
-
D.
lengthInWords
Indicates the number of words that make up the length of something, typically a text or expression.
-
E.
lengthRegime
Indicates a specific range or category of length within which something operates, is measured, or is classified.
- 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_69da627278c88190babe4297a9df1236 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e662ed59bc8190a9ff25493e500ebb |
completed | April 20, 2026, 5:31 p.m. |
| PD | Predicate disambiguation | batch_69e54ce752748190a0a1ffddd0372271 |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 3:37 p.m.