Triple
T10212869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dil Se.. |
E242373
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Suresh Urs |
E746027
|
NE 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: Suresh Urs | Statement: [Dil Se.., editedBy, Suresh Urs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Suresh Urs Context triple: [Dil Se.., editedBy, Suresh Urs]
-
A.
Suresh Urs
chosen
Suresh Urs is an acclaimed Indian film editor known for his work on numerous prominent Kannada, Tamil, and Hindi films.
-
B.
Shankar Patil
Shankar Patil is a prominent Marathi playwright known for his influential contributions to contemporary Marathi theatre.
-
C.
Shripad Naik
Shripad Naik is an Indian politician and long-serving Member of Parliament from Goa who has held multiple ministerial roles in the central government.
-
D.
Manohar Raju
Manohar Raju is an American attorney and criminal justice reform advocate who serves as the elected Public Defender of San Francisco.
-
E.
Nagendra Babu
Nagendra Babu is an Indian film actor and producer primarily associated with Telugu cinema and the influential Konidela family film dynasty.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d3aa23bce881909b5deac612ec22cb |
completed | April 6, 2026, 12:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d652e25be88190a6f1763e9e86666a |
completed | April 8, 2026, 1:06 p.m. |
Created at: April 6, 2026, 11:03 a.m.