Triple
T34856432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanjoy K. Roy |
E1004737
|
entity |
| Predicate | roleAtJaipurLiteratureFestival |
P118096
|
FINISHED |
| Object | managing director |
—
|
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: managing director | Statement: [Sanjoy K. Roy, roleAtJaipurLiteratureFestival, managing director]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleAtJaipurLiteratureFestival Context triple: [Sanjoy K. Roy, roleAtJaipurLiteratureFestival, managing director]
-
A.
festivalOrganiser
chosen
Indicates that one entity is responsible for planning, coordinating, or managing a festival for another entity or context.
-
B.
festivalPresence
Indicates that an entity is present at, participates in, or is associated with a particular festival event.
-
C.
festivalActivity
Indicates that an entity is an event, performance, or engagement that takes place as part of a festival’s organized program.
-
D.
authorOfBookDiscussingEvent
Indicates that a person is the author of a book whose content discusses or analyzes a particular event.
-
E.
CheltenhamLiteratureFestivalStatus
Indicates the status or phase of an entity’s involvement in the Cheltenham Literature Festival (e.g., scheduled, ongoing, completed, or cancelled).
- 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_69f76dba76f0819090643cba102c41ec |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7886be6d8819095ec62e4f2cee858 |
completed | May 3, 2026, 5:39 p.m. |
| PD | Predicate disambiguation | batch_69f7841440f48190b4346c08855951d2 |
completed | May 3, 2026, 5:21 p.m. |
Created at: May 3, 2026, 4 p.m.