Triple
T14044779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Katherine Mayfair |
E337929
|
entity |
| Predicate | neighborOf |
P350
|
FINISHED |
| Object | Lynette Scavo |
E349819
|
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: Lynette Scavo | Statement: [Katherine Mayfair, neighborOf, Lynette Scavo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lynette Scavo Context triple: [Katherine Mayfair, neighborOf, Lynette Scavo]
-
A.
Lynette Scavo
chosen
Lynette Scavo is a central character on the television series "Desperate Housewives," known as a former advertising executive and harried mother struggling to balance career, family, and personal fulfillment.
-
B.
Lynette
Lynette is a character in Alfred, Lord Tennyson’s Arthurian poem cycle "Idylls of the King," known for her proud and sharp-tongued demeanor that softens as her story progresses.
-
C.
Lynette
Lynette is a character in the novel and film "The Nanny Diaries," appearing in the story’s depiction of wealthy New York family life.
-
D.
Lynnette
Lynnette is a feminine given name, often considered a variant of Lynette or Lynn.
-
E.
Lynette White
Lynette White is a character in the television series "The District," which follows the professional and personal lives of law enforcement officials in Washington, D.C.
- 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_69d81c664e48819088cbd8f433aeffe5 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de312b94308190bd0961f5bc719c7b |
completed | April 14, 2026, 12:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc34148348190a8c67e035646e431 |
completed | May 6, 2026, 10:40 p.m. |
Created at: April 9, 2026, 10:20 p.m.