Triple
T5633284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gussie Fink-Nottle |
E147883
|
entity |
| Predicate | oftenInvolvedIn |
P23735
|
FINISHED |
| Object | romantic entanglements |
—
|
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: romantic entanglements | Statement: [Gussie Fink-Nottle, oftenInvolvedIn, romantic entanglements]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oftenInvolvedIn Context triple: [Gussie Fink-Nottle, oftenInvolvedIn, romantic entanglements]
-
A.
oftenInvolvedWith
chosen
Indicates that one entity frequently participates in or is commonly associated with activities, events, or situations involving another entity.
-
B.
constantInvolved
Indicates that a constant participates in or is directly involved in the specified relation, operation, or context.
-
C.
formerlyInvolved
Indicates that an entity previously participated in or was associated with another entity or activity, but is no longer involved.
-
D.
stillInvolvedIn
Indicates that an entity continues to participate in or be associated with a particular activity, role, or relationship at the present time.
-
E.
hasPeopleInvolved
Indicates that certain people participate in, are associated with, or are otherwise involved in the referenced entity or event.
- 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_69c00907bc8881909ed760d3ed73ef35 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0225ff3248190b93c9f5887553fd4 |
completed | March 22, 2026, 5:09 p.m. |
| PD | Predicate disambiguation | batch_69c01b1f12ec8190b4b9d9ee31cabe19 |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:41 p.m.