Triple
T22111104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DD National |
E546419
|
entity |
| Predicate | notableProgram |
P4
|
FINISHED |
| Object | Hum Log |
—
|
NE NERFINISHED |
How this triple was built (2 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: [DD National, notableProgram, Hum Log]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hum Log Context triple: [DD National, notableProgram, Hum Log]
-
A.
Hum Log
chosen
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.
-
B.
Hum Log (film)
Hum Log is a Hindi-language Indian film produced by AVM Productions, known for its socially themed storytelling and ensemble cast.
-
C.
Hum Dono
Hum Dono is a 1961 Hindi film best known for its memorable music, philosophical themes, and Dev Anand’s dual role performance.
-
D.
Hu Hu Hu
"Hu Hu Hu" is a critically acclaimed studio album by Mexican singer-songwriter Natalia Lafourcade that blends indie pop with folk influences.
-
E.
Hulchul
Hulchul is a 1995 Indian Hindi-language romantic drama film featuring Farah Naaz in a prominent role.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e38b3848190ac3a4fa97d56e65a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12949cc7881908898ca7dc130f57f |
completed | April 28, 2026, 9:40 p.m. |
Created at: April 16, 2026, 8:31 p.m.