Triple
T36206338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Lyman |
E1047405
|
entity |
| Predicate | hasMannerOfSpeaking |
P156142
|
FINISHED |
| Object | British accent |
—
|
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: British accent | Statement: [Peter Lyman, hasMannerOfSpeaking, British accent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMannerOfSpeaking Context triple: [Peter Lyman, hasMannerOfSpeaking, British accent]
-
A.
hasSpeakingStyle
Indicates that one entity exhibits or is characterized by a particular manner or style of speaking in relation to another entity.
-
B.
hasManner
Indicates the way, style, or method in which an action is performed or a relation is carried out.
-
C.
hasModeOfSpeech
chosen
Indicates the manner or style in which an entity expresses itself verbally or communicates through speech.
-
D.
hasDistinctiveVoice
Indicates that an entity possesses a voice that is notably unique or easily distinguishable from others.
-
E.
isSpoken
Indicates that a language or utterance is produced orally by a speaker or used in spoken form within a given context.
- 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_69f76e4214748190a76c986d2a1838c2 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a032616547c8190bc877202e43403eb |
completed | May 12, 2026, 1:07 p.m. |
| PD | Predicate disambiguation | batch_6a0325246abc819088e16a7fbadf40c5 |
completed | May 12, 2026, 1:03 p.m. |
Created at: May 3, 2026, 4:09 p.m.