Triple
T5367348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Forest of the Pygmies |
E103161
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Kate Cold |
E516110
|
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: Kate Cold | Statement: [Forest of the Pygmies, mainCharacter, Kate Cold]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kate Cold Context triple: [Forest of the Pygmies, mainCharacter, 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.
Volga Hayworth
Volga Hayworth was the mother of Hollywood actress Rita Hayworth and part of the family background that shaped the star's early life.
-
C.
Veronica Lake
Veronica Lake was a popular American film actress of the 1940s, famed for her roles in film noir and her iconic peek-a-boo hairstyle.
-
D.
Kate Reed
Kate Reed is the sharp, idealistic former lawyer turned mediator at the center of the legal dramedy series "Fairly Legal."
-
E.
Claire de Loone
Claire de Loone is a prim, intellectual anthropologist and one of the three main female leads in the classic Broadway musical "On the Town."
- 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_69bd43daa3e4819090b59d127db70e57 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd8684103081908ed79625b59e4b24 |
completed | March 20, 2026, 5:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf4877be7481909942b25ba1d0a7fd |
completed | March 22, 2026, 1:40 a.m. |
Created at: March 20, 2026, 2:02 p.m.