Triple
T32771718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mo'Nique as Nikki Parker |
E838080
|
entity |
| Predicate | originalAirPeriod |
P203724
|
FINISHED |
| Object | late 1990s to early 2000s |
—
|
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: late 1990s to early 2000s | Statement: [Mo'Nique as Nikki Parker, originalAirPeriod, late 1990s to early 2000s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalAirPeriod Context triple: [Mo'Nique as Nikki Parker, originalAirPeriod, late 1990s to early 2000s]
-
A.
originalAirEndYear
Indicates the calendar year in which something’s original broadcast run or airing period came to an end.
-
B.
originalAirYear
Indicates the year in which a work (such as a show, episode, or film) was first broadcast or made publicly available.
-
C.
originalAirContext
Indicates the broadcast setting or platform on which something was originally aired or first shown.
-
D.
timePeriodOrigin
Indicates that one entity is the time period in which the other entity originated or first came into existence.
-
E.
firstFlightPeriod
Indicates the time period during which an entity’s first flight or initial airborne operation took place.
- 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_69f3493a824c8190938489ba69041d08 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a01d339feac8190a3de56b24db67163 |
completed | May 11, 2026, 1:01 p.m. |
| PD | Predicate disambiguation | batch_6a01d2bc1f408190a04869f95e6941ee |
completed | May 11, 2026, 12:59 p.m. |
| PDg | Predicate description generation | batch_6a01d3394e0481909ec86ddd283e76c5 |
completed | May 11, 2026, 1:01 p.m. |
Created at: May 1, 2026, 1:13 a.m.