Triple
T37888428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tralfamadorians |
E945060
|
entity |
| Predicate | perceptionOfTime |
P58344
|
FINISHED |
| Object | all moments exist simultaneously |
—
|
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: all moments exist simultaneously | Statement: [Tralfamadorians, perceptionOfTime, all moments exist simultaneously]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: perceptionOfTime Context triple: [Tralfamadorians, perceptionOfTime, all moments exist simultaneously]
-
A.
timePerception
chosen
Indicates how an entity subjectively experiences, interprets, or estimates the passage and duration of time.
-
B.
timePerspective
Indicates how an entity conceptually relates to or orients itself toward time, such as focusing on past, present, or future.
-
C.
dimensionOfTime
Indicates a temporal measurement or extent that specifies how long something lasts or when it occurs.
-
D.
timeTravelDurationSubjective
Indicates the length of time a subject personally experiences while traveling through time, regardless of the objective external timeline.
-
E.
time
Indicates a temporal relationship specifying when an event occurs or how entities are ordered or related in time.
- 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_69f76ef02668819089e7940c4001af5e |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc995dc2481908b3bd4217f8101e7 |
completed | May 6, 2026, 11:07 p.m. |
| PD | Predicate disambiguation | batch_69fbc8ee04f08190977b7ad70fc85896 |
completed | May 6, 2026, 11:04 p.m. |
Created at: May 3, 2026, 4:19 p.m.