Triple
T25657683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Honey, I Shrunk the Kids: The TV Show |
E643279
|
entity |
| Predicate | hasSpinOffFrom |
P7226
|
FINISHED |
| Object | Honey, I Shrunk the Kids film series |
—
|
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: Honey, I Shrunk the Kids film series | Statement: [Honey, I Shrunk the Kids: The TV Show, hasSpinOffFrom, Honey, I Shrunk the Kids film series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSpinOffFrom Context triple: [Honey, I Shrunk the Kids: The TV Show, hasSpinOffFrom, Honey, I Shrunk the Kids film series]
-
A.
hasSpinOff
chosen
Indicates that one entity is a derivative or spin-off product, work, or organization that originated from another entity.
-
B.
hasFranchiseOrSpinOff
Indicates that one work, series, or product is related to another as a franchise entry or a spin-off derived from it.
-
C.
spinoffMemberOf
Indicates that one entity originated as a spinoff from, and is organizationally or historically derived from, another entity.
-
D.
spinoffCreatorOf
Indicates that one entity created or developed a spinoff derived from another entity.
-
E.
spinoffRelation
Indicates a relationship where one entity originates as a derivative, offshoot, or spin-off from another entity.
- 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_69e77e7d8a848190a98d0162325fd780 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f67c9fe7b48190b79b4041357edb49 |
completed | May 2, 2026, 10:37 p.m. |
| PD | Predicate disambiguation | batch_69f678cc272081909e5c70f1bc7407f0 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 21, 2026, 6:36 p.m.