Triple
T12293326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joan Shawlee |
E293020
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Joan Shawlee |
E293020
|
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: Joan Shawlee | Statement: [Joan Shawlee, name, Joan Shawlee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joan Shawlee Context triple: [Joan Shawlee, name, Joan Shawlee]
-
A.
Joan Shawlee
chosen
Joan Shawlee was an American character actress best known for her comedic supporting roles in mid-20th-century films and television.
-
B.
Shirley Scott
Shirley Scott was an influential American jazz organist renowned for her soulful Hammond B-3 playing and significant contributions to the soul-jazz genre.
-
C.
Shirley Mitchell
Shirley Mitchell was an American character actress best known for her comedic roles in classic radio and television shows such as "I Love Lucy."
-
D.
Joan Clayton
Joan Clayton is the ambitious, neurotic yet loving attorney and central protagonist of the TV sitcom "Girlfriends."
-
E.
Paulina Neely
Paulina Neely is known as the wife of former NHL star and Boston Bruins president Cam Neely.
- 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_69d6ab690ad081908c0ed3870ec82d53 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91d23def88190adbaa282dd03d6c6 |
completed | April 10, 2026, 3:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6555c73208190a8846a5db1a6802e |
completed | May 2, 2026, 7:49 p.m. |
Created at: April 8, 2026, 9:52 p.m.