Triple
T24203698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cult of Personality |
E600044
|
entity |
| Predicate | featuresSpokenWordSamplesOf |
P36061
|
FINISHED |
| Object | John F. Kennedy |
—
|
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: John F. Kennedy | Statement: [Cult of Personality, featuresSpokenWordSamplesOf, John F. Kennedy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresSpokenWordSamplesOf Context triple: [Cult of Personality, featuresSpokenWordSamplesOf, John F. Kennedy]
-
A.
spokenWord
Indicates that one entity has uttered or articulated a specific word or phrase in spoken form.
-
B.
spokeWords
Indicates that one entity verbally expressed specific words to another entity or audience.
-
C.
spokenAlong
Indicates that two or more languages are used concurrently or within the same context in a particular place, time, or situation.
-
D.
speechAlsoKnownAs
Indicates that a speech or spoken work is referred to by an alternative name, title, or alias.
-
E.
includesSpokenWordAppearanceBy
chosen
Indicates that something (such as a work, recording, or event) contains an instance where a person or entity appears through spoken words.
- 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_69e288ceaab88190899d0acb5931591d |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f27ca38c148190ae65cd692567d43d |
completed | April 29, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f1c43e55688190b55fc20274ed471c |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 17, 2026, 11:37 p.m.