Triple
T36037060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Subbamma Nayak |
E1042433
|
entity |
| Predicate | hasLimitedBiographicalInformation |
P44752
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Subbamma Nayak, hasLimitedBiographicalInformation, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLimitedBiographicalInformation Context triple: [Subbamma Nayak, hasLimitedBiographicalInformation, true]
-
A.
hasUncertainBiographicalDetails
chosen
Indicates that the biographical information about an entity is incomplete, ambiguous, or not reliably established.
-
B.
hasBiographicalNote
Indicates that an entity is associated with a textual note summarizing or describing a person’s life or background.
-
C.
hasWidelyDocumentedBiography
Indicates that extensive, reliable biographical information about the entity has been widely recorded and made publicly available.
-
D.
hasBiographicalPerspective
Indicates that one entity presents, analyzes, or frames another entity from a biographical point of view, focusing on life history or personal background.
-
E.
hasBiographicalRelation
Indicates a relationship where one entity has a biographical connection to another, such as being the subject, author, or source of biographical information.
- 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_69f76e2d7e8c8190bac4e90734566799 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fec8aef1d8819094c7fd7074038e6b |
completed | May 9, 2026, 5:39 a.m. |
| PD | Predicate disambiguation | batch_69fec639876481908efd84a3631a4271 |
completed | May 9, 2026, 5:29 a.m. |
Created at: May 3, 2026, 4:07 p.m.