Triple
T19986576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anup Kumar |
E493947
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Captain Cool |
—
|
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: Captain Cool | Statement: [Anup Kumar, nickname, Captain Cool]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Captain Cool Context triple: [Anup Kumar, nickname, Captain Cool]
-
A.
Captain Cool
chosen
Captain Cool is the famous nickname of Indian cricket legend MS Dhoni, highlighting his calm and composed leadership under pressure.
-
B.
Captain Chris
Captain Chris is the costumed sea-captain mascot representing Christopher Newport University at its athletic events and campus activities.
-
C.
The Cool Man
The Cool Man is a crime novel by American writer W. R. Burnett, known for his hardboiled storytelling and influential contributions to the noir genre.
-
D.
Captain Murphy
Captain Murphy is the animated rap alter ego of experimental producer Flying Lotus, used for his psychedelic, cartoon-infused hip-hop projects.
-
E.
Johnny Cool
Johnny Cool is a 1963 American crime film best known for its stylish, hard-edged portrayal of a vengeful gangster and its ensemble cast of prominent early-1960s stars.
- 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_69da626a67648190af9653832a3aeced |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65d16f60c81909ba02c0a3429ecae |
completed | April 20, 2026, 5:06 p.m. |
Created at: April 11, 2026, 3:29 p.m.