Triple
T20956301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alexander Cold |
E516108
|
entity |
| Predicate | guidedBy |
P12723
|
FINISHED |
| Object | Kate Cold |
—
|
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: Kate Cold | Statement: [Alexander Cold, guidedBy, Kate Cold]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kate Cold Context triple: [Alexander Cold, guidedBy, Kate Cold]
-
A.
Kate Cold
chosen
Kate Cold is a tough, eccentric elderly journalist and explorer who serves as a key mentor and adventurer in Isabel Allende’s young adult novel "City of the Beasts."
-
B.
Chelsea Kane
Chelsea Kane is an American actress and singer best known for her roles on Disney Channel series such as "Jonas" and "Baby Daddy."
-
C.
Rebecca Crane
Rebecca Crane is a skilled technician and analyst for the modern-day Assassin Brotherhood in the Assassin's Creed video game series, known for managing and upgrading the Animus device.
-
D.
Eva Barclay
Eva Barclay was the wife of British naval officer and art historian Roger Keyes, 1st Baron Keyes.
-
E.
Mona Kane
Mona Kane is a long-running supporting character on the soap opera "All My Children," best known as the kind, moral, and often-suffering mother of central heroine Erica Kane.
- 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_69e0b4fcd678819087a304291f14330a |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fb6b19048190b266ed24f6fc1a97 |
completed | April 21, 2026, 4:22 a.m. |
Created at: April 16, 2026, 1:28 p.m.