Triple
T31231158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chiaki Homma |
E796284
|
entity |
| Predicate | hasPublicInformation |
P36962
|
FINISHED |
| Object | limited |
—
|
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: limited | Statement: [Chiaki Homma, hasPublicInformation, limited]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPublicInformation Context triple: [Chiaki Homma, hasPublicInformation, limited]
-
A.
hasPublicity
Indicates that an entity has received or is associated with public attention, promotion, or media exposure.
-
B.
hasPublic
chosen
Indicates that an entity is accessible or visible to the general public rather than being private or restricted.
-
C.
publiclyDisplayed
Indicates that something is shown or made visible in a public context or setting, accessible to people at large.
-
D.
hasFamilyPublicProfile
Indicates that an entity has a publicly visible profile associated with their family or family-related information.
-
E.
hasPublicPerception
Indicates that an entity is associated with a particular way it is viewed, judged, or regarded by the general public or society.
- 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_69f224da98f88190ab32f690cce5d303 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f70e8755a48190931eaa77946f9460 |
completed | May 3, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69f70abc00848190a1c3f495ef6c8dc6 |
completed | May 3, 2026, 8:43 a.m. |
Created at: April 29, 2026, 9:10 p.m.