Triple
T23861520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nathanael |
E592462
|
entity |
| Predicate | utteredSaying |
P150458
|
FINISHED |
| Object | Can anything good come out of Nazareth? |
—
|
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: Can anything good come out of Nazareth? | Statement: [Nathanael, utteredSaying, Can anything good come out of Nazareth?]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: utteredSaying Context triple: [Nathanael, utteredSaying, Can anything good come out of Nazareth?]
-
A.
uttered
Indicates that one entity spoke or vocalized words or sounds, producing an audible expression directed toward another entity or into the environment.
-
B.
spokenWord
chosen
Indicates that one entity has uttered or articulated a specific word or phrase in spoken form.
-
C.
cannotBeEasilySpokenBy
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.
-
D.
spokenUntil
Indicates that an act of speaking or verbal communication continues up to a specific time or event and then stops.
-
E.
spokenOfAs
Indicates that one entity is referred to, characterized, or talked about in a particular way by another entity or 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_69e25d22eb488190914b193aff952e83 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1cae0b4bc819089f491d9e817d160 |
completed | April 29, 2026, 9:09 a.m. |
| PD | Predicate disambiguation | batch_69f1614612b481908c45d99e588882f9 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:13 p.m.