Triple
T7642819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Prince (Snow White and the Seven Dwarfs) |
E173048
|
entity |
| Predicate | languageOfFirstAppearance |
P65237
|
FINISHED |
| Object | English |
—
|
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: English | Statement: [The Prince (Snow White and the Seven Dwarfs), languageOfFirstAppearance, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfFirstAppearance Context triple: [The Prince (Snow White and the Seven Dwarfs), languageOfFirstAppearance, English]
-
A.
languageOfEarliestForm
Indicates the language in which the earliest known form or attested version of something (e.g., a text, name, or expression) is recorded.
-
B.
languageIntroduced
Indicates that a particular language was brought into use or made known within a certain context, time, or place.
-
C.
firstAppearedAt
Indicates the point in time or specific event at which an entity was first introduced, observed, or became known.
-
D.
firstEnglishLanguageProductionDate
Indicates the date on which an entity was first produced or released in the English language.
-
E.
debutLanguage
chosen
Indicates the language in which something (such as a work, performance, or product) was first released or presented to the public.
- 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_69c6995360188190968ee57b72a1627f |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6faef96908190a7724b204f9d8c9e |
completed | March 27, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e8cadc8190b7977fcd213954dd |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:58 p.m.