Triple
T20974300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karin Booth |
E516583
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Karin Booth |
—
|
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: Karin Booth | Statement: [Karin Booth, name, Karin Booth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karin Booth Context triple: [Karin Booth, name, Karin Booth]
-
A.
Karin Booth
chosen
Karin Booth was an American film and television actress active in the 1940s and 1950s, known for her roles in dramas, westerns, and adventure films.
-
B.
Valerie Booth
Valerie Booth is a film producer known for her work on the British crime biopic "The Krays."
-
C.
Kathryn Boyd
Kathryn Boyd is an American model and former assistant who later became the wife of actor Josh Brolin.
-
D.
Christine Booth
Christine Booth is a fictional character from the TV series "Bones," known as the daughter of FBI agent Seeley Booth and forensic anthropologist Temperance Brennan.
-
E.
Carole Eastman
Carole Eastman was an American screenwriter best known for her incisive character-driven work in 1970s New Hollywood cinema, including the film "Five Easy Pieces."
- 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_69e0b4fee5ac8190875fa9ceba1a5e5e |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fba307d88190b728544d1b6d0bb6 |
completed | April 21, 2026, 4:22 a.m. |
Created at: April 16, 2026, 1:46 p.m.