Triple
T33184970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danfield |
E849441
|
entity |
| Predicate | isSettingInSeason |
P152230
|
FINISHED |
| Object | later seasons of The Lucy Show |
—
|
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: later seasons of The Lucy Show | Statement: [Danfield, isSettingInSeason, later seasons of The Lucy Show]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSettingInSeason Context triple: [Danfield, isSettingInSeason, later seasons of The Lucy Show]
-
A.
setDuringSeason
chosen
Indicates that an event, activity, or state occurs within or is associated with a specific season.
-
B.
hasSeason
Indicates that an entity possesses, occurs during, or is associated with a particular season or set of seasons.
-
C.
hasSeasonScope
Indicates that something is applicable, valid, or relevant only within a specified season or seasonal period.
-
D.
isCrossoverSeasonOf
Indicates that a particular season of a series is a crossover season that combines or intertwines storylines, characters, or elements from multiple distinct series or franchises.
-
E.
hasUseSeason
Indicates the season or time of year during which something is intended or suitable to be used.
- 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_69f3495e0f108190a6a7006f79f9c2c3 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6dd3cc0648190a275812d6711275a |
completed | May 3, 2026, 5:29 a.m. |
| PD | Predicate disambiguation | batch_69f6d82eaee081908f06a71546315aea |
completed | May 3, 2026, 5:07 a.m. |
Created at: May 1, 2026, 1:29 a.m.