Triple
T5792144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doordarshan |
E128419
|
entity |
| Predicate | notableProgram |
P4
|
FINISHED |
| Object |
Hum Log
Hum Log is an Indian television soap opera that aired in the 1980s and is widely regarded as the country’s first long-running TV serial.
|
E546428
|
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: Hum Log | Statement: [Doordarshan, notableProgram, Hum Log]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hum Log Context triple: [Doordarshan, notableProgram, Hum Log]
-
A.
Hubuna
Hubuna is a town in southwestern Saudi Arabia located within the Najran Region near the Yemeni border.
-
B.
Billu
Billu is a 2009 Indian Hindi-language comedy-drama film about a poor village barber whose life changes when a Bollywood superstar, played by Shah Rukh Khan, visits his town.
-
C.
Har Mar Superstar
Har Mar Superstar is the stage name of Sean Tillmann, an American singer, songwriter, and performer known for his soulful pop/R&B music and humorous, often provocative live shows.
-
D.
Hangmatana
Hangmatana is the Old Persian name for Ecbatana, the ancient capital city of the Median Empire in what is now western Iran.
-
E.
Hullabaloo
Hullabaloo was a 1960s American musical variety television show that featured popular rock and pop performers of the era.
- 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: Hum Log Triple: [Doordarshan, notableProgram, Hum Log]
Generated description
Hum Log is an Indian television soap opera that aired in the 1980s and is widely regarded as the country’s first long-running TV serial.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hum Log Target entity description: Hum Log is an Indian television soap opera that aired in the 1980s and is widely regarded as the country’s first long-running TV serial.
-
A.
Hubuna
Hubuna is a town in southwestern Saudi Arabia located within the Najran Region near the Yemeni border.
-
B.
Billu
Billu is a 2009 Indian Hindi-language comedy-drama film about a poor village barber whose life changes when a Bollywood superstar, played by Shah Rukh Khan, visits his town.
-
C.
Har Mar Superstar
Har Mar Superstar is the stage name of Sean Tillmann, an American singer, songwriter, and performer known for his soulful pop/R&B music and humorous, often provocative live shows.
-
D.
Hangmatana
Hangmatana is the Old Persian name for Ecbatana, the ancient capital city of the Median Empire in what is now western Iran.
-
E.
Hullabaloo
Hullabaloo was a 1960s American musical variety television show that featured popular rock and pop performers of the era.
- 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_69c00845ca68819081a2ce3ecca577f7 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02a5870b88190bbfaac2782635128 |
completed | March 22, 2026, 5:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c09824c7f0819095565e0f29b3a508 |
completed | March 23, 2026, 1:32 a.m. |
| NEDg | Description generation | batch_69c098a0325c81909a1326b94e40ed50 |
completed | March 23, 2026, 1:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c09943deec819085992c4e44050a34 |
completed | March 23, 2026, 1:37 a.m. |
Created at: March 22, 2026, 3:51 p.m.