Triple
T31169310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morning Bell/Amnesiac |
E794559
|
entity |
| Predicate | tempoComparedToMorningBell |
P173766
|
FINISHED |
| Object | slower |
—
|
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: slower | Statement: [Morning Bell/Amnesiac, tempoComparedToMorningBell, slower]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tempoComparedToMorningBell Context triple: [Morning Bell/Amnesiac, tempoComparedToMorningBell, slower]
-
A.
numberOfBells
Indicates the quantity of bells associated with or present in a given entity or context.
-
B.
associatedTimeOfDay
Indicates the specific time of day during which an event, state, or relationship occurs or is most relevant.
-
C.
originalNumberOfBells
Indicates the initial count of bells associated with an entity before any changes or modifications occur.
-
D.
minutesAheadOf
Indicates that one entity occurs or is positioned a specified number of minutes earlier in time than another entity.
-
E.
bellPeriod
Indicates the specific time interval or class period during which a bell rings or is scheduled to ring.
- 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_69f224d5b9708190b6ca79ad2fd3a28a |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6ba1733408190af579d93a7946508 |
completed | May 3, 2026, 2:59 a.m. |
| PD | Predicate disambiguation | batch_69f6b6293188819080d5041ca0adb969 |
completed | May 3, 2026, 2:42 a.m. |
| PDg | Predicate description generation | batch_69f6b960ca4081909a77690c2b122f5e |
completed | May 3, 2026, 2:56 a.m. |
Created at: April 29, 2026, 9:07 p.m.