Triple
T13609455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lenny Palmieri |
E325149
|
entity |
| Predicate | settingOfWorkTimePeriod |
P32393
|
FINISHED |
| Object | mid-20th century |
—
|
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: mid-20th century | Statement: [Lenny Palmieri, settingOfWorkTimePeriod, mid-20th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: settingOfWorkTimePeriod Context triple: [Lenny Palmieri, settingOfWorkTimePeriod, mid-20th century]
-
A.
workSettingPeriod
chosen
Indicates the time period during which a particular work setting or employment context is in effect.
-
B.
workPeriod
Indicates the span of time during which an entity is engaged in a particular work or employment activity.
-
C.
timeSlotOfWorks
Indicates the specific time period or interval during which the works (e.g., tasks, events, or activities) are scheduled or take place.
-
D.
partOfWorkPeriod
Indicates that a specific time span is contained within, and belongs to, a larger defined work period.
-
E.
mealPeriod
Indicates the time-of-day category (such as breakfast, lunch, or dinner) during which a meal or food-related event occurs.
- 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbbb9ee3f081909056dc1a92c40b7a |
completed | April 12, 2026, 3:34 p.m. |
| PD | Predicate disambiguation | batch_69dbae1b3ee481909bd43ded6227a3e5 |
completed | April 12, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:50 p.m.