Triple
T23121067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rob Gordon |
E576892
|
entity |
| Predicate | favoriteHobby |
P150988
|
FINISHED |
| Object | making top-five lists |
—
|
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: making top-five lists | Statement: [Rob Gordon, favoriteHobby, making top-five lists]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: favoriteHobby Context triple: [Rob Gordon, favoriteHobby, making top-five lists]
-
A.
favoriteFood
Indicates that one entity has a preferred or most liked food item in relation to another entity or context.
-
B.
favoriteGenre
Indicates that one entity’s preferred or most liked genre, among several possible genres, is the other entity.
-
C.
favoriteSport
Indicates that one entity has a particular sport that it prefers above all others.
-
D.
favoritePlace
Indicates that one entity considers another entity to be the place they like or prefer the most.
-
E.
formerHobby
Indicates that an activity was previously pursued as a hobby by an entity but is no longer currently practiced as such.
- F. None of above. chosen
Provenance (4 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_69e245f6c2e881909a228fdcfeb7c7d3 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e4f9be881908307838bfb5edc0c |
completed | April 29, 2026, 4:51 a.m. |
| PD | Predicate disambiguation | batch_69ef89f020588190b43393e048e7eda3 |
completed | April 27, 2026, 4:08 p.m. |
| PDg | Predicate description generation | batch_69ef9b7494f4819088ae59ea3d0ae8ab |
completed | April 27, 2026, 5:23 p.m. |
Created at: April 17, 2026, 3:59 p.m.