Triple
T21428622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Twinkle Khanna |
E528624
|
entity |
| Predicate | hasWrittenColumn |
P11775
|
FINISHED |
| Object | Mrs Funnybones column |
—
|
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: Mrs Funnybones column | Statement: [Twinkle Khanna, hasWrittenColumn, Mrs Funnybones column]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWrittenColumn Context triple: [Twinkle Khanna, hasWrittenColumn, Mrs Funnybones column]
-
A.
hasWrittenRecordsIn
Indicates that an entity has produced or maintains written records in a specified medium, format, or location.
-
B.
hasWrittenFor
chosen
Indicates that one entity has created written content (such as articles, stories, or texts) for or on behalf of another entity, typically a publication, organization, or platform.
-
C.
hasCol
Indicates that one entity possesses, contains, or is associated with a particular color.
-
D.
isWritten
Indicates that a text, document, or content has been created or recorded in written form by an agent.
-
E.
hasColumns
Indicates that one entity possesses or is characterized by a set of columns associated with it.
- 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_69e0c455f3688190810bc96365791b0f |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee813db52c8190ac933bc6ec4dbf77 |
completed | April 26, 2026, 9:18 p.m. |
| PD | Predicate disambiguation | batch_69e61639ee288190889ffd500d1260f6 |
completed | April 20, 2026, 12:04 p.m. |
Created at: April 16, 2026, 5:49 p.m.