Triple
T32512379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sam (The Simpsons character) |
E830969
|
entity |
| Predicate | dialogueFrequency |
P15845
|
FINISHED |
| Object | rarely speaks |
—
|
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: rarely speaks | Statement: [Sam (The Simpsons character), dialogueFrequency, rarely speaks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dialogueFrequency Context triple: [Sam (The Simpsons character), dialogueFrequency, rarely speaks]
-
A.
hasCommunicationFrequency
chosen
Indicates how often communication occurs between the related entities.
-
B.
dialogueLevel
Indicates the degree or intensity of conversational interaction occurring between entities.
-
C.
meetingFrequency
Indicates how often a meeting or recurring gathering takes place over a given period.
-
D.
dealFrequency
Indicates how often a particular deal, transaction, or agreement occurs within a given period.
-
E.
numberOfDialogues
Indicates the total count of dialogues associated with or occurring between the referenced entities.
- 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_69f3492318348190ba37fb6b5f1d67f4 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c49fc3248190809b0d61ac1b1b1a |
completed | May 3, 2026, 3:44 a.m. |
| PD | Predicate disambiguation | batch_69f6bd2a14b081908162923dfbf0a6f4 |
completed | May 3, 2026, 3:12 a.m. |
Created at: May 1, 2026, 1 a.m.