Triple
T18636092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mukesh |
E455551
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Mukesh Goyal
Mukesh Goyal is an individual notable enough to be specifically distinguished from others sharing the given name Mukesh.
|
E1340245
|
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: Mukesh Goyal | Statement: [Mukesh, hasNotableBearer, Mukesh Goyal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mukesh Goyal Context triple: [Mukesh, hasNotableBearer, Mukesh Goyal]
-
A.
Mukesh Chhabra
Mukesh Chhabra is an Indian casting director and filmmaker known for his work on numerous prominent Bollywood films.
-
B.
Mukul Sharma
Mukul Sharma was an Indian writer, journalist, and science fiction author known for his popular science columns and for inspiring several acclaimed film adaptations.
-
C.
Mukesh Tiwari
Mukesh Tiwari is an Indian film and television actor best known for his character roles and villainous performances in Hindi cinema.
-
D.
Mukul Deora
Mukul Deora is an Indian film producer and artist best known for producing the acclaimed Netflix adaptation of Aravind Adiga’s novel "The White Tiger."
-
E.
Vijay Maurya
Vijay Maurya is an Indian actor, writer, and director known for his work in Hindi cinema and web series.
- 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: Mukesh Goyal Triple: [Mukesh, hasNotableBearer, Mukesh Goyal]
Generated description
Mukesh Goyal is an individual notable enough to be specifically distinguished from others sharing the given name Mukesh.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mukesh Goyal Target entity description: Mukesh Goyal is an individual notable enough to be specifically distinguished from others sharing the given name Mukesh.
-
A.
Mukesh Chhabra
Mukesh Chhabra is an Indian casting director and filmmaker known for his work on numerous prominent Bollywood films.
-
B.
Mukul Sharma
Mukul Sharma was an Indian writer, journalist, and science fiction author known for his popular science columns and for inspiring several acclaimed film adaptations.
-
C.
Mukesh Tiwari
Mukesh Tiwari is an Indian film and television actor best known for his character roles and villainous performances in Hindi cinema.
-
D.
Mukul Deora
Mukul Deora is an Indian film producer and artist best known for producing the acclaimed Netflix adaptation of Aravind Adiga’s novel "The White Tiger."
-
E.
Vijay Maurya
Vijay Maurya is an Indian actor, writer, and director known for his work in Hindi cinema and web series.
- 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_69d8d38cc7948190a55ea64e5638994e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54fc90b508190849cecb462b52b62 |
completed | April 19, 2026, 9:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a053246930c8190b4bbdbd619e6e808 |
completed | May 14, 2026, 2:24 a.m. |
| NEDg | Description generation | batch_6a0533de8c8c8190953cfacd5d9fe0b5 |
completed | May 14, 2026, 2:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0534a667508190bf2d32bc9894874f |
completed | May 14, 2026, 2:34 a.m. |
Created at: April 10, 2026, 11:46 a.m.