Triple
T3866603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lina Lamont |
E91871
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Kathy Selden |
E66043
|
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: Kathy Selden | Statement: [Lina Lamont, associatedWith, Kathy Selden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kathy Selden Context triple: [Lina Lamont, associatedWith, Kathy Selden]
-
A.
Kathy Selden
chosen
Kathy Selden is the aspiring actress and love interest in the classic Hollywood musical film "Singin' in the Rain."
-
B.
Lenore Blum
Lenore Blum is an American mathematician and computer scientist known for her work in complexity theory, real computation, and advocacy for women in STEM.
-
C.
Alice Robertson
Alice Robertson is known as the former wife of Apple co-founder and engineer Steve Wozniak.
-
D.
Laura Ricketts
Laura Ricketts is an American attorney, co-owner of the Chicago Cubs, and prominent LGBTQ+ activist and political donor.
-
E.
Cathy A. Sandeen
Cathy A. Sandeen is an American academic leader and administrator known for serving as president of multiple public universities in the United States.
- 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_69aed9645f348190a9868e7cef56ab7e |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec3b8d988190b56d42ac1521e19c |
completed | March 9, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b512410f38819089adccf0a476dd8f |
completed | March 14, 2026, 7:46 a.m. |
Created at: March 9, 2026, 3:19 p.m.