Triple
T18449349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Da Rockwilder |
E450736
|
entity |
| Predicate | hasLengthCharacteristic |
P54172
|
FINISHED |
| Object | under three minutes |
—
|
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: under three minutes | Statement: [Da Rockwilder, hasLengthCharacteristic, under three minutes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLengthCharacteristic Context triple: [Da Rockwilder, hasLengthCharacteristic, under three minutes]
-
A.
hasBorderLengthCharacteristic
Indicates that a border is associated with a specific length-related property or characteristic.
-
B.
hasLengthRange
chosen
Indicates that an entity’s length falls within a specified minimum-to-maximum range.
-
C.
hasCanonicalLength
Indicates that something possesses a standard or officially defined length used as a reference or norm.
-
D.
isFeatureLength
Indicates that something (typically a film or video) has a duration long enough to be considered a full-length, standard feature.
-
E.
hasCaseLength
Indicates that an entity is associated with a specific duration or length of a case (e.g., legal, medical, or procedural case).
- 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_69d8d38345688190b565eac2e4cd7935 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e52646949c81909664e864224675a6 |
completed | April 19, 2026, 7 p.m. |
| PD | Predicate disambiguation | batch_69e469c943a4819094c8fdc5971ad3a7 |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 11:30 a.m.