Triple
T35661785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JapaneseHonorificTitles |
E1030452
|
entity |
| Predicate | includesPronoun |
—
|
GENERATED |
| Object | anata |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesPronoun Context triple: [JapaneseHonorificTitles, includesPronoun, anata]
-
A.
hasSubjectPronouns
Indicates that an entity is associated with one or more pronouns that function as its grammatical subject in sentences.
-
B.
hasPronounForIt
chosen
Indicates that one entity serves as the pronoun form referring to another entity.
-
C.
hasPronounForI
Indicates that an entity is associated with or uses a specific pronoun corresponding to the first-person singular "I" in a given language or context.
-
D.
hasPronounForThey
Indicates that one entity serves as the pronoun form corresponding to “they” for another entity.
-
E.
hasPronounForWe
Indicates that a language or system includes a specific pronoun form corresponding to the first-person plural "we."
- F. None of above.
Provenance (1 batch)
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_69f76e09f87881909c954aaac176c34f |
completed | May 3, 2026, 3:47 p.m. |
Created at: May 3, 2026, 4:05 p.m.