Triple
T21265526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anant Nag |
E524114
|
entity |
| Predicate | alsoWorkedInLanguage |
P45484
|
FINISHED |
| Object | Hindi |
—
|
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: Hindi | Statement: [Anant Nag, alsoWorkedInLanguage, Hindi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alsoWorkedInLanguage Context triple: [Anant Nag, alsoWorkedInLanguage, Hindi]
-
A.
hasWorkedInLanguage
chosen
Indicates that an entity has performed work or professional activities using a particular language.
-
B.
usesWorkingLanguagesOf
Indicates that one entity employs or operates using the working languages associated with another entity.
-
C.
alsoWrittenIn
Indicates that the same content, work, or information is expressed or available in an additional language, script, or writing system.
-
D.
notableLanguageOfWorks
Indicates that a particular language is especially prominent or significant among the works created by an entity.
-
E.
workLanguageOfTitle
Indicates the language in which a specific work or title is expressed or written.
- 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_69e0b5156d7881909bd4f83676590715 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e735ebe09081909f74301e91b4d3d7 |
completed | April 21, 2026, 8:31 a.m. |
| PD | Predicate disambiguation | batch_69e5f6161dac8190b06009cd180e3ff7 |
completed | April 20, 2026, 9:47 a.m. |
Created at: April 16, 2026, 4 p.m.