Triple
T551014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spy Kids |
E11838
|
entity |
| Predicate | spinOffFormat |
P130
|
FINISHED |
| Object | animated television series |
—
|
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: animated television series | Statement: [Spy Kids, spinOffFormat, animated television series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spinOffFormat Context triple: [Spy Kids, spinOffFormat, animated television series]
-
A.
spinOff
Indicates that a new entity is created by separating or divesting part of an existing entity, forming an independent offshoot derived from the original.
-
B.
spinOffDate
Indicates the date on which an entity was formally separated or spun off from another entity.
-
C.
format
chosen
Indicates the specific arrangement, structure, or presentation style in which something is organized or expressed.
-
D.
hasSpinOff
Indicates that one entity is a derivative or spin-off product, work, or organization that originated from another entity.
-
E.
notableFormat
Indicates that something is particularly recognized or distinguished for being in a specific format.
- 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_69a4932941d08190815efd422f0b4ca7 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a499030cf4819089b9163102255e49 |
completed | March 1, 2026, 7:52 p.m. |
| PD | Predicate disambiguation | batch_69a494bae210819093c2e0d33a8ca51a |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:32 p.m.