Triple
T2026890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parker |
E44427
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Kimberly Parker |
E207710
|
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: Kimberly Parker | Statement: [Parker, hasNotableBearer, Kimberly Parker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kimberly Parker Context triple: [Parker, hasNotableBearer, Kimberly Parker]
-
A.
Kim Parker
chosen
Kim Parker is a comedic, outspoken teenage character from the sitcom "Moesha," later becoming a central figure in its spin-off series "The Parkers."
-
B.
Lindsay Mills
Lindsay Mills is an American acrobat, dancer, and blogger best known as the longtime partner of NSA whistleblower Edward Snowden.
-
C.
Sylvie Parker
Sylvie Parker is a fictional character played by actress Tessa Thompson.
-
D.
Melissa Mathison
Melissa Mathison was an American screenwriter best known for writing the screenplay for Steven Spielberg’s film "E.T. the Extra-Terrestrial."
-
E.
Lindsay Doran
Lindsay Doran is an American film producer and studio executive known for championing character-driven, emotionally resonant movies such as "Sense and Sensibility," "Dead Again," and "Stranger Than Fiction."
- 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_69a889144f2481909932f0746a93023d |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb91055d88190a980e7b42e5895d4 |
completed | March 7, 2026, 5:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae5d85c2208190bbd612a3ecbbacfd |
completed | March 9, 2026, 5:41 a.m. |
Created at: March 4, 2026, 7:38 p.m.