Triple
T1853249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jenny Lewis |
E41642
|
entity |
| Predicate | activeYearsStartMusic |
P20894
|
FINISHED |
| Object | 1990s |
—
|
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: 1990s | Statement: [Jenny Lewis, activeYearsStartMusic, 1990s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: activeYearsStartMusic Context triple: [Jenny Lewis, activeYearsStartMusic, 1990s]
-
A.
beganInYear
Indicates that an event, process, or state started in a specific calendar year.
-
B.
minimumEligibilityYearsAfterFirstRecording
Indicates the minimum number of years that must pass after an entity’s first recording before it becomes eligible for a specified status or action.
-
C.
startedMusicalActivity
chosen
Indicates that an entity began engaging in a musical activity or practice at a particular point in time.
-
D.
activeYearsEndTime
Indicates the point in time when an entity’s period of activity or operation comes to an end.
-
E.
activeYearsInCareer
Indicates the span of time during which an entity was actively engaged in a particular career or professional field.
- 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_69a8864a83848190a4ec02721306c511 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb231de14819091da3a20ed03c430 |
completed | March 7, 2026, 5:05 a.m. |
| PD | Predicate disambiguation | batch_69abafde4598819099d8229128348fd3 |
completed | March 7, 2026, 4:55 a.m. |
Created at: March 4, 2026, 7:33 p.m.