Triple
T10051073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lord Bilimoria |
E207748
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Karan
Karan is the given first name of Lord Bilimoria, a prominent British-Indian entrepreneur and life peer.
|
E838117
|
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: Karan | Statement: [Lord Bilimoria, givenName, Karan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karan Context triple: [Lord Bilimoria, givenName, Karan]
-
A.
Karan Pol
Karan Pol is a historic gateway that serves as one of the principal entrances to Junagarh Fort in Bikaner, Rajasthan, India.
-
B.
Kovai
Kovai is the commonly used local name for Coimbatore, a major industrial and educational city in the South Indian state of Tamil Nadu.
-
C.
Karamlesh
Karamlesh is a historic Assyrian Christian town in northern Iraq’s Nineveh Plains, known for its ancient churches and proximity to Mosul.
-
D.
Madhan Karky
Madhan Karky is an Indian lyricist, dialogue writer, and technologist known for his innovative work in Tamil cinema and contributions to major films like Baahubali: The Beginning.
-
E.
Konidela
Konidela is a prominent Indian family name best known for its association with Telugu film megastar Chiranjeevi and his influential film dynasty.
- 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: Karan Triple: [Lord Bilimoria, givenName, Karan]
Generated description
Karan is the given first name of Lord Bilimoria, a prominent British-Indian entrepreneur and life peer.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Karan Target entity description: Karan is the given first name of Lord Bilimoria, a prominent British-Indian entrepreneur and life peer.
-
A.
Karan Pol
Karan Pol is a historic gateway that serves as one of the principal entrances to Junagarh Fort in Bikaner, Rajasthan, India.
-
B.
Kovai
Kovai is the commonly used local name for Coimbatore, a major industrial and educational city in the South Indian state of Tamil Nadu.
-
C.
Karamlesh
Karamlesh is a historic Assyrian Christian town in northern Iraq’s Nineveh Plains, known for its ancient churches and proximity to Mosul.
-
D.
Madhan Karky
Madhan Karky is an Indian lyricist, dialogue writer, and technologist known for his innovative work in Tamil cinema and contributions to major films like Baahubali: The Beginning.
-
E.
Konidela
Konidela is a prominent Indian family name best known for its association with Telugu film megastar Chiranjeevi and his influential film dynasty.
- 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_69ca835ad0608190b7c80b292da004f5 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcf8fb23c8190b48b30cb2368dc1f |
completed | April 2, 2026, 2:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2829674f08190b5f9c3b984106469 |
completed | April 5, 2026, 3:41 p.m. |
| NEDg | Description generation | batch_69d2868c5c88819080d73e50fabc2bb7 |
completed | April 5, 2026, 3:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d286fdd2c88190b0ce5070c7875dcc |
completed | April 5, 2026, 3:59 p.m. |
Created at: March 30, 2026, 8:56 p.m.