Triple
T11232505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kabnis |
E265856
|
entity |
| Predicate | appearsIn |
P795
|
FINISHED |
| Object | Cane |
E53515
|
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: Cane | Statement: [Kabnis, appearsIn, Cane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cane Context triple: [Kabnis, appearsIn, Cane]
-
A.
Cane
chosen
Cane is a groundbreaking 1923 modernist work by Jean Toomer that blends poetry, prose, and drama to depict African American life in the rural South and urban North, and is considered a seminal text of the Harlem Renaissance.
-
B.
Cane Pace
Cane Pace is a prestigious harness racing event for pacers that forms part of the sport’s Triple Crown series.
-
C.
Canes
Canes is the nickname commonly used for the University of Miami’s athletic teams, short for the Hurricanes.
-
D.
Captain Cane
Captain Cane is the costumed superhero-style mascot who represents the University of Tulsa Golden Hurricane athletic teams at games and events.
-
E.
Old Tige
Old Tige was the nickname of William L. Cabell, a Confederate general who later became a prominent postwar civic leader and mayor of Dallas, Texas.
- 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_69d6aac656d48190b275efaa7d6074ee |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9026e1c81909456ac946bbba972 |
completed | April 9, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e509ea915481909c41a4a89ae6ee80 |
completed | April 19, 2026, 4:59 p.m. |
Created at: April 8, 2026, 9:30 p.m.