Triple
T25991582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juhi Chawla |
E646366
|
entity |
| Predicate | pageIn |
P159642
|
FINISHED |
| Object | https://en.wikipedia.org/wiki/Juhi_Chawla |
—
|
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: https://en.wikipedia.org/wiki/Juhi_Chawla | Statement: [Juhi Chawla, pageIn, https://en.wikipedia.org/wiki/Juhi_Chawla]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pageIn Context triple: [Juhi Chawla, pageIn, https://en.wikipedia.org/wiki/Juhi_Chawla]
-
A.
pageNumber
Indicates the specific numerical position of a page within an ordered sequence of pages.
-
B.
pages
Indicates that one entity consists of or contains a certain number of pages, or that a specific page-related attribute is associated with it.
-
C.
pageE2
Indicates that one entity is the second page (or page-level element 2) associated with another entity, typically in an ordered sequence of pages.
-
D.
pageSize
Indicates the size or amount of content (such as items, records, or data) that is included or displayed on a single page.
-
E.
firstPage
Indicates that one entity is the first page or initial section in the ordered sequence of pages of another entity.
- F. None of above. chosen
Provenance (4 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_69e77e88cb8481908da31d4a00661f55 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f605484f2081908bc76568678ffe68 |
completed | May 2, 2026, 2:08 p.m. |
| PD | Predicate disambiguation | batch_69f4a10480748190a2e67bd399fc435d |
completed | May 1, 2026, 12:48 p.m. |
| PDg | Predicate description generation | batch_69f55e497fa081909bc59a7b92c5df59 |
completed | May 2, 2026, 2:15 a.m. |
Created at: April 22, 2026, 8:57 a.m.