Triple
T12449283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chuck Rhoades |
E297485
|
entity |
| Predicate | alliesWith |
P435
|
FINISHED |
| Object | Kate Sacker |
E430204
|
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 Sacker | Statement: [Chuck Rhoades, alliesWith, Kate Sacker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kate Sacker Context triple: [Chuck Rhoades, alliesWith, Kate Sacker]
-
A.
Kate Sacker
chosen
Kate Sacker is a sharp, ambitious Assistant U.S. Attorney in the television drama "Billions," known for her legal acumen and political savvy.
-
B.
Sarah Kirsch
Sarah Kirsch was an influential American punk guitarist and songwriter known for her work in several seminal Bay Area punk and hardcore bands.
-
C.
Sarah Kirsch
Sarah Kirsch was a prominent German poet and writer known for her lyrical, nature-focused works and her critical stance toward the East German regime.
-
D.
Kate Burroughs
Kate Burroughs is the central protagonist of the film "The Four Seasons," around whom the story’s relationships and events revolve.
-
E.
Jane Brucker
Jane Brucker is an American actress best known for playing Lisa Houseman, the protagonist’s older sister, in the classic 1987 film "Dirty Dancing."
- 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_69d6ada166c48190b902972cd2408fa3 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d9e592c81908cf7f3ca170d942c |
completed | April 10, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6fef6c34481909e18bce1154e7146 |
completed | May 3, 2026, 7:53 a.m. |
Created at: April 8, 2026, 9:56 p.m.