Triple
T20170805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ashok Kumar |
E491951
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Kismet |
—
|
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: Kismet | Statement: [Ashok Kumar, notableWork, Kismet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kismet Context triple: [Ashok Kumar, notableWork, Kismet]
-
A.
Kismet
Kismet is an open-source wireless network detector, sniffer, and intrusion detection system widely used for Wi-Fi security auditing and monitoring.
-
B.
Kismet
chosen
Kismet is a 1955 MGM musical fantasy film directed by Vincente Minnelli, adapted from the Broadway musical set in a stylized, exoticized Baghdad.
-
C.
Kismet
Kismet is a small, laid-back beach community on Fire Island, New York, known for its vacation homes, bars, and easygoing summer atmosphere.
-
D.
The Robot
The Robot is the English title of the Indian science fiction film "Enthiran," which centers on a powerful humanoid robot and its creator.
-
E.
The Robot
The Robot is a wisecracking, emotionally expressive mechanical companion who serves and protects the Robinson family in the classic science-fiction TV series "Lost in Space."
- 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e66847ed9481908e6b23b399fa7005 |
completed | April 20, 2026, 5:54 p.m. |
Created at: April 11, 2026, 11:35 p.m.