Triple
T8381740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Who Are You |
E197707
|
entity |
| Predicate | singleVersionLength |
P81758
|
FINISHED |
| Object | 5:11 |
—
|
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: 5:11 | Statement: [Who Are You, singleVersionLength, 5:11]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: singleVersionLength Context triple: [Who Are You, singleVersionLength, 5:11]
-
A.
longVersionLength
Indicates that one entity specifies the length or duration of a more detailed or extended version of another entity.
-
B.
albumVersionLength
Indicates the duration or running time of a specific version of an album.
-
C.
principalVersionFor
Indicates a relationship where one version of an entity is designated as the primary or authoritative version for another related entity.
-
D.
singleEditLength
Indicates that one entity can be transformed into the other by performing exactly one edit operation (insertion, deletion, or substitution).
-
E.
hasVersionCount
Indicates the total number of distinct versions associated with a given entity.
- F. None of above. chosen
Provenance (4 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_69ca82f64c188190af4e1608036b865d |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb80dc96048190887d7df8bce5c1fd |
completed | March 31, 2026, 8:07 a.m. |
| PD | Predicate disambiguation | batch_69cb70cfe82881909fe374ba52649e84 |
completed | March 31, 2026, 6:59 a.m. |
| PDg | Predicate description generation | batch_69cb76da264881909483b835e1db06da |
completed | March 31, 2026, 7:25 a.m. |
Created at: March 30, 2026, 6:02 p.m.