Triple
T2695484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Slartibartfast |
E58500
|
entity |
| Predicate | hasHobby |
P971
|
FINISHED |
| Object | designing dramatic coastlines |
—
|
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: designing dramatic coastlines | Statement: [Slartibartfast, hasHobby, designing dramatic coastlines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHobby Context triple: [Slartibartfast, hasHobby, designing dramatic coastlines]
-
A.
hasRecreationActivity
chosen
Indicates that an entity provides, includes, or is associated with a particular recreational activity.
-
B.
hasClub
Indicates that an entity is associated with or belongs to a particular club.
-
C.
hasAct
Indicates that an entity performs, participates in, or is associated with a specific act or action.
-
D.
formerHobby
Indicates that an activity was previously pursued as a hobby by an entity but is no longer currently practiced as such.
-
E.
hasLie
Indicates that an entity is associated with or responsible for a specific lie or false statement.
- 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_69ab4ac269e481909cb317d79e68b75b |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda2f7bf88190a1e3103dd014d871 |
completed | March 7, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69abd81ea5d88190ab5c8f8b8064b931 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:55 p.m.