Triple
T27102519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Randy Taylor |
E686478
|
entity |
| Predicate | leavesSeriesReasonInStory |
P161852
|
FINISHED |
| Object | goes on an environmental study program in Costa Rica |
—
|
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: goes on an environmental study program in Costa Rica | Statement: [Randy Taylor, leavesSeriesReasonInStory, goes on an environmental study program in Costa Rica]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leavesSeriesReasonInStory Context triple: [Randy Taylor, leavesSeriesReasonInStory, goes on an environmental study program in Costa Rica]
-
A.
leavesSeriesIn
Indicates that an entity departs from or exits a particular series, sequence, or collection it was previously part of.
-
B.
leavesSeriesWith
Indicates that an entity departs from or exits a series, sequence, or collection, ending its participation in that series.
-
C.
endOfSeriesReason
Indicates the reason or cause for which a series, sequence, or run is concluded or terminated.
-
D.
leavesDoctorInStory
Indicates that, within a narrative, one character departs from or stops being accompanied by a doctor.
-
E.
leavesSeriesInSeason
Indicates that an entity departs from or exits a series during a specific season.
- 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_69ef1489f8b481908e24a1985982bd26 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f623b76bec8190ad8f66180c8ecbd4 |
completed | May 2, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69f61b40f02081909bd9c3ea73249163 |
completed | May 2, 2026, 3:41 p.m. |
| PDg | Predicate description generation | batch_69f61fa35ac48190890102c348ed81a0 |
completed | May 2, 2026, 4 p.m. |
Created at: April 27, 2026, 8:48 a.m.