Triple
T3555581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | C. R. Das |
E75211
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Das |
E140368
|
NE FINISHED |
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: Das | Statement: [C. R. Das, familyName, Das]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Das Context triple: [C. R. Das, familyName, Das]
-
A.
Das
chosen
Das is a common Indian surname found across various regions and communities, often associated with Hindu and Bengali cultural backgrounds.
-
B.
The Natural
The Natural is a 1984 American sports drama film starring Robert Redford as a mysteriously gifted baseball player whose late-blooming career takes on mythic proportions.
-
C.
The Hydro
The Hydro is a major indoor arena in Glasgow, Scotland, renowned for hosting large-scale concerts and entertainment events.
-
D.
Son
Son is a Japanese surname most prominently associated with Masayoshi Son, the billionaire founder and CEO of SoftBank.
-
E.
El Muski
El Muski is a historic, densely populated commercial district in central Cairo known for its traditional markets and bustling street life.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ad85d45090819086f34fb85d850a1e |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc0569fbc81909b855b6990c1415b |
completed | March 8, 2026, 6:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3bb95bcc88190abf1ea2efc30faeb |
completed | March 13, 2026, 7:24 a.m. |
Created at: March 8, 2026, 3:20 p.m.