Triple
T16906803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hebrew letter Ayin |
E424583
|
entity |
| Predicate | affectsVocalization |
P50918
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Hebrew letter Ayin, affectsVocalization, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: affectsVocalization Context triple: [Hebrew letter Ayin, affectsVocalization, true]
-
A.
vocalization
Indicates the act or manner of producing sounds or calls, typically as a means of communication.
-
B.
vocalizationCharacteristic
Indicates how an entity’s vocal sounds are characterized, such as their quality, style, or distinctive acoustic features.
-
C.
vocalEffects
Indicates that one entity applies or produces specific modifications, enhancements, or stylistic effects on another entity’s vocal sound or performance.
-
D.
vocalizationMethod
Indicates the manner or technique by which an entity produces a sound or vocal expression.
-
E.
vocalInfluence
chosen
Indicates that one entity affects, shapes, or modifies another entity through vocal expression, such as speech, tone, or sound.
- 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_69d889da3e8c8190a2b118f383f0beac |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3ca39f9b08190b15106c6caf895ec |
completed | April 18, 2026, 6:15 p.m. |
| PD | Predicate disambiguation | batch_69e32b9489408190bcb2ede567ff5bf9 |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:30 a.m.