Triple
T28331083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | An American Prayer |
E717540
|
entity |
| Predicate | spokenWordBy |
P2181
|
FINISHED |
| Object | Jim Morrison |
—
|
NE NERFINISHED |
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: Jim Morrison | Statement: [An American Prayer, spokenWordBy, Jim Morrison]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spokenWordBy Context triple: [An American Prayer, spokenWordBy, Jim Morrison]
-
A.
spokenWord
Indicates that one entity has uttered or articulated a specific word or phrase in spoken form.
-
B.
spokenAlong
Indicates that two or more languages are used concurrently or within the same context in a particular place, time, or situation.
-
C.
spokeWords
Indicates that one entity verbally expressed specific words to another entity or audience.
-
D.
spokenOfAs
Indicates that one entity is referred to, characterized, or talked about in a particular way by another entity or within a given context.
-
E.
spokenBy
chosen
Indicates that a particular utterance, statement, or piece of speech is produced or said by a specific entity.
- 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_69eff6e9a57c8190a69c2c74b5d72119 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f64bce044c81908c397f6eb05e74c1 |
completed | May 2, 2026, 7:09 p.m. |
| PD | Predicate disambiguation | batch_69f641e0fde08190bf06a1c5b388aa84 |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 28, 2026, 12:32 a.m.