Triple
T19199030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tetragrammaton Records |
E470051
|
entity |
| Predicate | timeInBusiness |
P75841
|
FINISHED |
| Object | a few years |
—
|
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: a few years | Statement: [Tetragrammaton Records, timeInBusiness, a few years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeInBusiness Context triple: [Tetragrammaton Records, timeInBusiness, a few years]
-
A.
workYear
Indicates the specific year or span of years during which an entity (such as a person or organization) was engaged in work or employment.
-
B.
experienceDuration
Indicates the length of time over which an entity undergoes or has undergone a particular experience or event.
-
C.
occupationDuration
Indicates the length of time an entity holds or has held a particular occupation or role.
-
D.
timeOfMainOccupation
Indicates the specific time period during which an entity primarily carries out its main occupation or activity.
-
E.
durationInYears
chosen
Indicates the length of time associated with something, measured in whole or fractional years.
- 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_69d8dd0ad9088190a173b32657ae2e7a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f8a8daac8190b3558a1388596fb0 |
completed | April 20, 2026, 9:58 a.m. |
| PD | Predicate disambiguation | batch_69e4b9bb158481909478ca2e06f3ba39 |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 12:07 p.m.