Triple
T35661785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JapaneseHonorificTitles |
E1030452
|
entity |
| Predicate | includesPronoun |
P5237
|
FINISHED |
| Object | anata |
—
|
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: anata | Statement: [JapaneseHonorificTitles, includesPronoun, anata]
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 (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_69f76e09f87881909c954aaac176c34f |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a04d8348190a4819666eab42c9b |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:05 p.m.