Triple
T25958923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uppalapati |
E645482
|
entity |
| Predicate | hasNotableFamilyInField |
P187555
|
FINISHED |
| Object | South Indian film industry |
—
|
NE NERFINISHED |
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: South Indian film industry | Statement: [Uppalapati, hasNotableFamilyInField, South Indian film industry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableFamilyInField Context triple: [Uppalapati, hasNotableFamilyInField, South Indian film industry]
-
A.
hasNotableFamilyMembers
Indicates that an entity is related to one or more family members who are considered notable or significant in some context.
-
B.
hasNotableFieldOfDescendant
Indicates that an entity is associated with a notable field or area of expertise specifically through one or more of its descendants.
-
C.
notableFamilyFor
Indicates that a family is particularly recognized or distinguished for a specific person, achievement, role, or characteristic.
-
D.
belongsToFamily
Indicates that an entity is a member of, or is associated as part of, a specific family group.
-
E.
hasFamilyBranch
Indicates that one entity is a subdivision, offshoot, or branch within the broader family group or lineage 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_69e77e85efc08190997da7fcf98bd300 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69fb6fdc7eb081908ab8475efb38c430 |
completed | May 6, 2026, 4:44 p.m. |
| PD | Predicate disambiguation | batch_69fb5a986e588190b7a10892bd2ff44c |
completed | May 6, 2026, 3:13 p.m. |
| PDg | Predicate description generation | batch_69fb6fdab95c81909acff3c6a2359787 |
completed | May 6, 2026, 4:44 p.m. |
Created at: April 22, 2026, 8:47 a.m.