Triple
T33093514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Slinky |
E846845
|
entity |
| Predicate | hasFamousJingle |
P111099
|
FINISHED |
| Object | "It's Slinky" |
—
|
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: "It's Slinky" | Statement: [Slinky, hasFamousJingle, "It's Slinky"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFamousJingle Context triple: [Slinky, hasFamousJingle, "It's Slinky"]
-
A.
hasCatchySound
chosen
Indicates that something possesses an appealing, memorable, or attractive auditory quality.
-
B.
hasFictionalSong
Indicates that one entity includes, features, or is associated with a song that is fictional or exists only within a narrative context.
-
C.
hasAdvertisingSlogan
Indicates that an entity uses or is associated with a particular advertising slogan as part of its promotional or branding activities.
-
D.
hasSignatureSong
Indicates that an artist or performer is especially associated with a particular song that is widely recognized as their defining or most iconic work.
-
E.
hasThemeSong
Indicates that an entity is associated with or characterized by a particular theme song.
- 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_69f3495590dc8190aa04f3dec74ce976 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fd553d7cb881908d243e7a9f30ac85 |
completed | May 8, 2026, 3:15 a.m. |
| PD | Predicate disambiguation | batch_69fd514dcb1c81908333c70d7edd79c9 |
completed | May 8, 2026, 2:58 a.m. |
Created at: May 1, 2026, 1:26 a.m.