Triple
T30489896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gidget (TV series) |
E775827
|
entity |
| Predicate | leadCharacterHobby |
P55097
|
FINISHED |
| Object | surfing |
—
|
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: surfing | Statement: [Gidget (TV series), leadCharacterHobby, surfing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leadCharacterHobby Context triple: [Gidget (TV series), leadCharacterHobby, surfing]
-
A.
hasNotableHobby
Indicates that an entity engages in a hobby that is distinctive, remarkable, or otherwise noteworthy.
-
B.
favoriteHobby
Indicates that one entity has another entity as the hobby they enjoy doing the most.
-
C.
leadCharacterActivity
chosen
Indicates that an activity is performed by, associated with, or characteristic of the lead character in a narrative or work.
-
D.
typicalActivity
Indicates that an entity is commonly or characteristically engaged in a particular activity.
-
E.
isPopularWithHobbyKeepers
Indicates that something is widely liked, favored, or well-regarded by people who pursue a particular hobby or collection activity.
- 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_69f22497f91c8190afa7165bc900accd |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68748a0548190a881253cf0fd001e |
completed | May 2, 2026, 11:22 p.m. |
| PD | Predicate disambiguation | batch_69f678d2196c8190b9d0d2fcd47cc539 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 29, 2026, 8:13 p.m.