Triple
T7714445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Palmer |
E174845
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Sherry Palmer |
E291673
|
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: Sherry Palmer | Statement: [David Palmer, relative, Sherry Palmer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sherry Palmer Context triple: [David Palmer, relative, Sherry Palmer]
-
A.
Sherry Palmer
chosen
Sherry Palmer is a fictional character from the television series "24," known as the ambitious and manipulative wife of Senator and later President David Palmer.
-
B.
Sherry Nelson
Sherry Nelson is known as the former spouse of Academy Award–winning American actor Rod Steiger.
-
C.
Sherry Marsh
Sherry Marsh is a television and film producer best known for executive producing acclaimed series such as "Vikings."
-
D.
Sherry Smith
Sherry Smith was an early 20th-century Major League Baseball left-handed pitcher known for his strong performances in several World Series appearances.
-
E.
Pam Ferris
Pam Ferris is a British actress known for her character roles in film and television, including memorable performances in "Matilda," "Call the Midwife," and "Harry Potter and the Prisoner of Azkaban."
- 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_69c6995c463c8190a14458036249d419 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c702ca8f048190a6ea27b8cee2f93e |
completed | March 27, 2026, 10:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2e4b5781c8190b33035b81dd74260 |
completed | April 5, 2026, 10:39 p.m. |
Created at: March 27, 2026, 4:04 p.m.