Triple
T24664781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Egg and I |
E610639
|
entity |
| Predicate | spawnedSpinOff |
P7226
|
FINISHED |
| Object | Ma and Pa Kettle (film) |
—
|
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: Ma and Pa Kettle (film) | Statement: [The Egg and I, spawnedSpinOff, Ma and Pa Kettle (film)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spawnedSpinOff Context triple: [The Egg and I, spawnedSpinOff, Ma and Pa Kettle (film)]
-
A.
hasSpinOff
chosen
Indicates that one entity is a derivative or spin-off product, work, or organization that originated from another entity.
-
B.
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.
-
C.
spinOffMedia
Indicates that one work or franchise has generated a derivative media product that expands on its characters, setting, or storyline.
-
D.
spinoffRelation
Indicates a relationship where one entity originates as a derivative, offshoot, or spin-off from another entity.
-
E.
spinoffAppearance
Indicates that an entity appears in a derivative or spinoff work related to another original work or series.
- 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_69e2c4d505cc8190981881df06c0bf52 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f41011d8048190be70329ba0bfb7c7 |
completed | May 1, 2026, 2:29 a.m. |
| PD | Predicate disambiguation | batch_69f40ed9d47881909fcfc0d04e8d074a |
completed | May 1, 2026, 2:24 a.m. |
Created at: April 18, 2026, 2:34 a.m.