Triple
T26888587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allu family |
E677108
|
entity |
| Predicate | hasMultiGenerationalPresenceIn |
P175215
|
FINISHED |
| Object | Telugu cinema |
—
|
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: Telugu cinema | Statement: [Allu family, hasMultiGenerationalPresenceIn, Telugu cinema]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMultiGenerationalPresenceIn Context triple: [Allu family, hasMultiGenerationalPresenceIn, Telugu cinema]
-
A.
hasGenerations
Indicates a relationship where an entity is associated with one or more successive generational levels or cohorts derived from it.
-
B.
hasMultipleGenealogies
Indicates that an entity is associated with more than one distinct genealogical lineage or family tree.
-
C.
multiGenerationOwnershipOf
Indicates that ownership of something extends across multiple generations within the same family or lineage.
-
D.
hasAncestralResidence
Indicates that an entity has a residence or dwelling place that belonged to or was established by its ancestors.
-
E.
hasMultiGenerationalLeadership
Indicates that leadership roles within an organization or group are held by members from multiple generations of the same family or lineage.
- 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_69eee9bc0c90819085608c8bdc513a57 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f6cee547108190ad3bc84297d8f516 |
completed | May 3, 2026, 4:28 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1188708190b8f0f56e595e6057 |
completed | May 3, 2026, 4:16 a.m. |
| PDg | Predicate description generation | batch_69f6cee3604c81908a07eade2f39064e |
completed | May 3, 2026, 4:28 a.m. |
Created at: April 27, 2026, 5:43 a.m.