Triple
T20104795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hey Arnold!: The Jungle Movie |
E490138
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object | Snee-Oosh, Inc. |
—
|
NE NERFINISHED |
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: Snee-Oosh, Inc. | Statement: [Hey Arnold!: The Jungle Movie, productionCompany, Snee-Oosh, Inc.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Snee-Oosh, Inc. Context triple: [Hey Arnold!: The Jungle Movie, productionCompany, Snee-Oosh, Inc.]
-
A.
Snee-Oosh, Inc.
chosen
Snee-Oosh, Inc. is an American animation production company best known for its work on the Nickelodeon series "Hey Arnold!" and its related projects.
-
B.
Webscoe Industries
Webscoe Industries is a powerful, fictional multinational conglomerate owned by the villainous tycoon Ross Webster in the film "Superman III."
-
C.
Snow Corporation
Snow Corporation is a South Korean tech company best known for its mobile photo and video apps, including the popular selfie and augmented reality camera app SNOW.
-
D.
Ostar Enterprises
Ostar Enterprises is a television and film production company known for developing and producing scripted entertainment projects.
-
E.
Rand Company
Rand Company was an American industrial firm known for manufacturing heavy machinery and equipment, which later became part of the Dresser-Rand corporate lineage.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da62636cc08190982cc71733a17b8d |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e666daf73c819089f02ca6faa2c283 |
completed | April 20, 2026, 5:48 p.m. |
Created at: April 11, 2026, 11:28 p.m.