Triple
T27939029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Debbie (This Is 40) |
E700689
|
entity |
| Predicate | hasHobbyOrInterest |
P152915
|
FINISHED |
| Object | fitness and health-conscious behavior |
—
|
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: fitness and health-conscious behavior | Statement: [Debbie (This Is 40), hasHobbyOrInterest, fitness and health-conscious behavior]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHobbyOrInterest Context triple: [Debbie (This Is 40), hasHobbyOrInterest, fitness and health-conscious behavior]
-
A.
hasNotableHobby
Indicates that an entity engages in a hobby that is distinctive, remarkable, or otherwise noteworthy.
-
B.
hasOverlappingInterestsFrom
Indicates that one entity shares some, but not necessarily all, interests in common with another entity, such that their sets of interests partially overlap.
-
C.
isPopularWithHobbyKeepers
Indicates that something is widely liked, favored, or well-regarded by people who pursue a particular hobby or collection activity.
-
D.
hasInterestType
chosen
Indicates that an entity is associated with a specific category or type of interest it holds or is concerned with.
-
E.
activityCorrelatesWith
Indicates that the level or occurrence of one activity is statistically associated with the level or occurrence of another activity, without implying direct causation.
- 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_69ef6a5028108190a14696d9821dde49 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f73ae120bc8190bff94d38d7a7a00d |
completed | May 3, 2026, 12:09 p.m. |
| PD | Predicate disambiguation | batch_69f73a38d0848190aa5139144b8561c6 |
completed | May 3, 2026, 12:06 p.m. |
Created at: April 27, 2026, 7:16 p.m.