Triple
T26618946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Honey Best |
E668139
|
entity |
| Predicate | isSpokenToBy |
P93257
|
FINISHED |
| Object | Frozone |
—
|
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: Frozone | Statement: [Honey Best, isSpokenToBy, Frozone]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSpokenToBy Context triple: [Honey Best, isSpokenToBy, Frozone]
-
A.
spokenToCharacter
chosen
Indicates that one character has verbally addressed or communicated directly with another character.
-
B.
speaksWith
Indicates that one entity engages in spoken communication or conversation with another entity.
-
C.
isSpoken
Indicates that a language or utterance is produced orally by a speaker or used in spoken form within a given context.
-
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.
isSpokenAround
Indicates that something (such as a language, phrase, or expression) is commonly spoken in the vicinity of, or within the general area surrounding, a particular place or 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_69ee9cfe16088190a3dddd68e3c7b1ea |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f6247480cc8190a887eedaeb94615c |
completed | May 2, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69f623a7539c8190b71797f583da9f63 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 27, 2026, 2:20 a.m.