Triple
T17772344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anita Mazumdar |
E443670
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Clear Light of Day |
—
|
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: Clear Light of Day | Statement: [Anita Mazumdar, notableWork, Clear Light of Day]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clear Light of Day Context triple: [Anita Mazumdar, notableWork, Clear Light of Day]
-
A.
Clear Light of Day
chosen
Clear Light of Day is a reflective novel by Indian author Anita Desai that explores memory, family tensions, and the passage of time in post-partition Delhi.
-
B.
Daylight Again
Daylight Again is a 1982 studio album by Crosby, Stills & Nash that marked a commercial resurgence for the band with polished production and radio-friendly hits.
-
C.
At First Light
At First Light is an early orchestral work by British composer George Benjamin, noted for its vivid, atmospheric sound world and intricate modernist textures.
-
D.
Daylight
"Daylight" is a song titled to evoke themes of light, hope, or emotional clarity, commonly used in pop and rock music.
-
E.
Daylight
Daylight was a famous streamlined passenger train of the Southern Pacific Railroad, celebrated for its bright orange livery and scenic daytime runs along the California coast.
- 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_69d8b9ef17708190bdf7e2adbf14ddc2 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4871a2130819081743ae89dddc64b |
completed | April 19, 2026, 7:41 a.m. |
Created at: April 10, 2026, 10:11 a.m.