Triple
T32915898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Annabeth Schott |
E842007
|
entity |
| Predicate | screenTimeConcentration |
P173421
|
FINISHED |
| Object | final two seasons of The West Wing |
—
|
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: final two seasons of The West Wing | Statement: [Annabeth Schott, screenTimeConcentration, final two seasons of The West Wing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: screenTimeConcentration Context triple: [Annabeth Schott, screenTimeConcentration, final two seasons of The West Wing]
-
A.
screenTimeConcentratedIn
chosen
Indicates that the majority of an entity’s screen usage occurs within a specific time period or temporal window.
-
B.
screenTimeFocus
Indicates the amount or proportion of time an entity’s attention or activity is concentrated on a particular screen or digital display.
-
C.
screenTime
Indicates the amount of time an entity spends viewing or interacting with a screen-based device.
-
D.
screenTimeProportion
Indicates the proportion of total time that an entity spends looking at or using a screen relative to a defined overall time period.
-
E.
screenTimeRelation
Indicates a relationship between entities based on the amount, duration, or pattern of time spent using screens or digital devices.
- 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_69f3494779388190a5d3e97f92278be2 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f73223675481908c1bc3208c0f5284 |
completed | May 3, 2026, 11:31 a.m. |
| PD | Predicate disambiguation | batch_69f7317690108190b3aae2cd2e1d069e |
completed | May 3, 2026, 11:28 a.m. |
Created at: May 1, 2026, 1:19 a.m.