Triple
T5904413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lord Dundreary |
E131306
|
entity |
| Predicate | mannerOfSpeaking |
P9331
|
FINISHED |
| Object | lisping |
—
|
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: lisping | Statement: [Lord Dundreary, mannerOfSpeaking, lisping]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mannerOfSpeaking Context triple: [Lord Dundreary, mannerOfSpeaking, lisping]
-
A.
speechType
Indicates the specific category or form of spoken or written communication that an utterance or speech act belongs to (e.g., question, statement, command).
-
B.
vocalizationMethod
chosen
Indicates the manner or technique by which an entity produces a sound or vocal expression.
-
C.
speaksIn
Indicates that an entity uses or expresses itself in a particular language or medium when speaking.
-
D.
spokenVsWritten
Indicates that the relationship contrasts or distinguishes between spoken and written forms of the same content or expression.
-
E.
languageOfVocalization
Indicates the language in which a vocalization (such as speech or singing) is produced.
- 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_69c0085864a88190a569c05ff7d65f29 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03ee10b308190afe38b904ae7c5f7 |
completed | March 22, 2026, 7:11 p.m. |
| PD | Predicate disambiguation | batch_69c0334fcf6481908e8e74105de9d49b |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 3:59 p.m.