Triple
T3820238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mars (TV series) |
E84352
|
entity |
| Predicate | mainCastMember |
P5563
|
FINISHED |
| Object |
Akbar Kurtha
Akbar Kurtha is a British actor known for his roles in film and television, including a main cast role in the science fiction series "Mars."
|
E393308
|
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: Akbar Kurtha | Statement: [Mars (TV series), mainCastMember, Akbar Kurtha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Akbar Kurtha Context triple: [Mars (TV series), mainCastMember, Akbar Kurtha]
-
A.
Jagat Singh
Jagat Singh was a brother of Indian revolutionary Bhagat Singh, belonging to the same politically active Sandhu Jat Sikh family from Punjab.
-
B.
Dinesh Chugtai
Dinesh Chugtai is a socially awkward yet ambitious software engineer and programmer from the comedy TV series "Silicon Valley."
-
C.
Gor Khatri
Gor Khatri is a historic Mughal-era caravanserai and archaeological complex in Peshawar, Pakistan, known for its layers of ancient remains and religious significance over centuries.
-
D.
Sher Afgan Khan
Sher Afgan Khan was a Mughal nobleman and military officer best known as the first husband of the influential empress Nur Jahan.
-
E.
Ashok Chandra
Ashok Chandra is a computer scientist known for his contributions to theoretical computer science and complexity theory.
- 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: Akbar Kurtha Triple: [Mars (TV series), mainCastMember, Akbar Kurtha]
Generated description
Akbar Kurtha is a British actor known for his roles in film and television, including a main cast role in the science fiction series "Mars."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Akbar Kurtha Target entity description: Akbar Kurtha is a British actor known for his roles in film and television, including a main cast role in the science fiction series "Mars."
-
A.
Jagat Singh
Jagat Singh was a brother of Indian revolutionary Bhagat Singh, belonging to the same politically active Sandhu Jat Sikh family from Punjab.
-
B.
Dinesh Chugtai
Dinesh Chugtai is a socially awkward yet ambitious software engineer and programmer from the comedy TV series "Silicon Valley."
-
C.
Gor Khatri
Gor Khatri is a historic Mughal-era caravanserai and archaeological complex in Peshawar, Pakistan, known for its layers of ancient remains and religious significance over centuries.
-
D.
Sher Afgan Khan
Sher Afgan Khan was a Mughal nobleman and military officer best known as the first husband of the influential empress Nur Jahan.
-
E.
Ashok Chandra
Ashok Chandra is a computer scientist known for his contributions to theoretical computer science and complexity theory.
- 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_69aed931f5908190be2c07af66d4df25 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeea61a63c819086e16b89d2ea2157 |
completed | March 9, 2026, 3:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b503f75f6c8190b9af77ed212a2774 |
completed | March 14, 2026, 6:45 a.m. |
| NEDg | Description generation | batch_69b504a31de08190b543549a2b05b038 |
completed | March 14, 2026, 6:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5084c8bd48190b7afc80bed196c90 |
completed | March 14, 2026, 7:03 a.m. |
Created at: March 9, 2026, 3:17 p.m.