Triple
T21944444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Billu |
E541899
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Arun Kumar
Arun Kumar is a film editor known for his work on the movie "Billu."
|
E1522568
|
NE FINISHED |
How this triple was built (4 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: Arun Kumar | Statement: [Billu, editedBy, Arun Kumar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arun Kumar Context triple: [Billu, editedBy, Arun Kumar]
-
A.
Anil Kumar
Anil Kumar is an Indian business leader and academic figure best known for playing a key role in establishing the Indian School of Business as a premier management institution.
-
B.
Naresh Kumar
Naresh Kumar is a senior Indian Administrative Service (IAS) officer who has served in top bureaucratic positions in the Government of Delhi.
-
C.
Ajay Kumar
Ajay Kumar is an Indian screenwriter best known for contributing dialogue to major Telugu-language films, including the epic blockbuster "Baahubali: The Beginning."
-
D.
Arun Tiwari
Arun Tiwari is an Indian missile scientist and author best known for co-authoring the autobiography "Wings of Fire" with A. P. J. Abdul Kalam.
-
E.
Prabhat Kumar
Prabhat Kumar is an Indian civil servant and politician who became the inaugural Governor of the state of Jharkhand.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Arun Kumar Triple: [Billu, editedBy, Arun Kumar]
Generated description
Arun Kumar is a film editor known for his work on the movie "Billu."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Arun Kumar Target entity description: Arun Kumar is a film editor known for his work on the movie "Billu."
-
A.
Anil Kumar
Anil Kumar is an Indian business leader and academic figure best known for playing a key role in establishing the Indian School of Business as a premier management institution.
-
B.
Naresh Kumar
Naresh Kumar is a senior Indian Administrative Service (IAS) officer who has served in top bureaucratic positions in the Government of Delhi.
-
C.
Ajay Kumar
Ajay Kumar is an Indian screenwriter best known for contributing dialogue to major Telugu-language films, including the epic blockbuster "Baahubali: The Beginning."
-
D.
Arun Tiwari
Arun Tiwari is an Indian missile scientist and author best known for co-authoring the autobiography "Wings of Fire" with A. P. J. Abdul Kalam.
-
E.
Prabhat Kumar
Prabhat Kumar is an Indian civil servant and politician who became the inaugural Governor of the state of Jharkhand.
- F. None of above. chosen
Provenance (5 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_69e0c47e2e5c81909a7f74ce3de50911 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1242688988190a7b8f033c49368de |
completed | April 28, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a9eaa53cc8190bfc006245a63f9e5 |
completed | May 18, 2026, 5:07 a.m. |
| NEDg | Description generation | batch_6a0aa0066d0481909872d8e1dbbe2fcf |
completed | May 18, 2026, 5:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0aa07acd5c8190bc73cc1d8897fa01 |
completed | May 18, 2026, 5:15 a.m. |
Created at: April 16, 2026, 7:56 p.m.