Triple
T6395165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samantha Jones |
E143924
|
entity |
| Predicate | closeFriendOf |
P8712
|
FINISHED |
| Object | Charlotte York |
E182121
|
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: Charlotte York | Statement: [Samantha Jones, closeFriendOf, Charlotte York]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charlotte York Context triple: [Samantha Jones, closeFriendOf, Charlotte York]
-
A.
Charlotte York
chosen
Charlotte York is a prim, romantic, and traditional art dealer and one of the four central female protagonists in the Sex and the City franchise.
-
B.
Charlotte Godfrey
Charlotte Godfrey was an 18th-century English gentlewoman best known as the mother of British admiral Edward Boscawen.
-
C.
Charlotte Greenwood
Charlotte Greenwood was an American actress, comedian, and dancer best known for her lanky physical comedy and memorable supporting roles in stage and film musicals.
-
D.
Kate Norley
Kate Norley is an American Iraq War veteran and veterans’ rights advocate who served as a U.S. Army combat medic and is married to comedian and television host John Oliver.
-
E.
Susannah York
Susannah York was an acclaimed English actress known for her versatile performances in film, television, and theatre during the 1960s and 1970s.
- 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_69c008db906c819096f3597d55d95432 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0688275d0819086b58123c743a6db |
completed | March 22, 2026, 10:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c638935934819096a34da6f1b5110b |
completed | March 27, 2026, 7:58 a.m. |
Created at: March 22, 2026, 4:35 p.m.