Triple
T16632748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goo Lagoon |
E404115
|
entity |
| Predicate | hasEpisodeSettingRole |
P76157
|
FINISHED |
| Object | major recurring setting |
—
|
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: major recurring setting | Statement: [Goo Lagoon, hasEpisodeSettingRole, major recurring setting]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEpisodeSettingRole Context triple: [Goo Lagoon, hasEpisodeSettingRole, major recurring setting]
-
A.
hasSettingRole
chosen
Indicates that an entity participates in a setting by fulfilling a specific contextual or functional role within it.
-
B.
isEpisodeOfType
Indicates that an episode belongs to or is classified under a specific type or category.
-
C.
hasEpisodeStructure
Indicates that one entity defines or possesses the episodic organization, sequencing, or structural pattern of another (such as a series, season, or narrative work).
-
D.
hasEpisode
Indicates that something, typically a series or program, includes a specific episode as one of its constituent parts.
-
E.
hasEpisodeGoalPattern
Indicates that an episode follows a particular recurring structure or pattern in terms of its goals or objectives.
- 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_69d883897eb481909eaaa088ba9918d9 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e378e7d4a48190a9b4a14ecbb2a14b |
completed | April 18, 2026, 12:28 p.m. |
| PD | Predicate disambiguation | batch_69e296ad3f148190af09223dc35b155c |
completed | April 17, 2026, 8:23 p.m. |
Created at: April 10, 2026, 5:17 a.m.