Triple
T20863744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pookie Adams |
E513691
|
entity |
| Predicate | storySettingPhaseOfLife |
P142156
|
FINISHED |
| Object | early college 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: early college years | Statement: [Pookie Adams, storySettingPhaseOfLife, early college years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: storySettingPhaseOfLife Context triple: [Pookie Adams, storySettingPhaseOfLife, early college years]
-
A.
storySettingEvent
Indicates that an event takes place within, or helps define, the setting or background context of a story.
-
B.
settingOfLifeEvents
Indicates the location or environment in which significant life events of an entity take place.
-
C.
settingOfFictionalLife
Indicates that a particular place or environment serves as the primary backdrop or context in which a fictional character’s life and experiences occur.
-
D.
narrativeSettingOfWork
Indicates that a particular place, time, or context serves as the narrative setting in which a work’s story or events occur.
-
E.
exploresLifeStage
Indicates that one entity investigates, examines, or studies a particular stage in the life or development of another entity.
- 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_69e0b4f5b01081909452f654d2fc3f50 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c45e51f08190ac1ff59280ad741b |
completed | April 21, 2026, 12:27 a.m. |
| PD | Predicate disambiguation | batch_69e5c9a593f481908beb457c29f1ce73 |
completed | April 20, 2026, 6:37 a.m. |
| PDg | Predicate description generation | batch_69e5d53c4d6881909b4d0a716fa5ed4a |
completed | April 20, 2026, 7:26 a.m. |
Created at: April 16, 2026, 12:44 p.m.