Triple
T35249873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shibboleth incident |
E1018066
|
entity |
| Predicate | reliesOnInabilityToPronounce |
P123533
|
FINISHED |
| Object | "sh" sound by Ephraimites |
—
|
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: "sh" sound by Ephraimites | Statement: [Shibboleth incident, reliesOnInabilityToPronounce, "sh" sound by Ephraimites]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reliesOnInabilityToPronounce Context triple: [Shibboleth incident, reliesOnInabilityToPronounce, "sh" sound by Ephraimites]
-
A.
cannotBeEasilySpokenBy
chosen
Indicates that one entity (typically a word, phrase, or name) is difficult for another entity (typically a speaker or group) to pronounce or articulate smoothly.
-
B.
avoidsPronunciationOf
Indicates that one entity deliberately refrains from saying or articulating the name, word, or expression associated with another entity.
-
C.
primarySoundProduction
Indicates that one entity is the main means or mechanism by which sound is produced for another entity.
-
D.
correctPronunciation
Indicates that one entity provides the accurate or standard way to pronounce another entity (such as a word or name).
-
E.
vocalizationCharacteristic
Indicates how an entity’s vocal sounds are characterized, such as their quality, style, or distinctive acoustic features.
- 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_69f76de407d081909dfc3c419817ae93 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78f63c8788190b253a18de5ca1312 |
completed | May 3, 2026, 6:09 p.m. |
| PD | Predicate disambiguation | batch_69f78e2d71248190b850c2802ec170c0 |
completed | May 3, 2026, 6:04 p.m. |
Created at: May 3, 2026, 4:02 p.m.