Triple
T14167629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prentiss M. Brown |
E351119
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Prentiss |
E351119
|
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: Prentiss | Statement: [Prentiss M. Brown, givenName, Prentiss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prentiss Context triple: [Prentiss M. Brown, givenName, Prentiss]
-
A.
Prentiss
chosen
Prentiss is a given name most notably borne by Prentiss M. Brown, a 20th-century American politician and U.S. Senator from Michigan.
-
B.
Prentiss
Prentiss is a serious, rule-following orphan boy and one of the young leaders who accompanies Peter in the adventure of "Peter and the Starcatcher."
-
C.
Ann Prentiss
Ann Prentiss was an American character actress known for her supporting roles in film and television during the 1960s and 1970s.
-
D.
Amy Prentiss
Amy Prentiss is a 1970s American television crime drama series featuring Jessica Walter as a pioneering female chief of detectives in San Francisco.
-
E.
Vivian Rutledge
Vivian Rutledge is a sharp-witted, enigmatic socialite and femme fatale portrayed by Lauren Bacall in the classic film noir "The Big Sleep" (1946).
- 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_69d8278775fc8190b0802d22ca2f495d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61b355f08190864c7322bbcb766d |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf7f57ad88190aeb8ee0f834bfa20 |
completed | May 7, 2026, 8:37 p.m. |
Created at: April 10, 2026, 1 a.m.