Triple
T33753279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Divya Narendra |
E864901
|
entity |
| Predicate | roleInConnectU |
P61597
|
FINISHED |
| Object | co-founder |
—
|
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: co-founder | Statement: [Divya Narendra, roleInConnectU, co-founder]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInConnectU Context triple: [Divya Narendra, roleInConnectU, co-founder]
-
A.
connectsRole
chosen
Indicates a relationship in which one entity is linked to another by assigning or associating a specific role between them.
-
B.
roleOnPern
Indicates the specific function, position, or duty an entity holds within the context of Pern.
-
C.
roleInIntegration
Indicates the specific function or responsibility an entity has within a combined or coordinated system, process, or integration.
-
D.
roleAtAnthropic
Indicates that an entity holds or held a specific role or position at Anthropic.
-
E.
realmRole
Indicates that an entity holds or is associated with a specific role or set of permissions within a defined realm or security domain.
- 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_69f3498c35f881909df279ae4270f831 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a00a15604fc8190b1c280794960f3a4 |
completed | May 10, 2026, 3:16 p.m. |
| PD | Predicate disambiguation | batch_6a00a0f7e77881909ac85755ab0e6329 |
completed | May 10, 2026, 3:15 p.m. |
Created at: May 1, 2026, 1:45 a.m.