Triple
T3866601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lina Lamont |
E91871
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Don Lockwood |
E68677
|
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: Don Lockwood | Statement: [Lina Lamont, associatedWith, Don Lockwood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Don Lockwood Context triple: [Lina Lamont, associatedWith, Don Lockwood]
-
A.
Don Lockwood
chosen
Don Lockwood is the charismatic silent-film star-turned-musical leading man portrayed by Gene Kelly in the classic Hollywood film "Singin' in the Rain."
-
B.
Elwood Mead
Elwood Mead was an American engineer and public official who served as U.S. Commissioner of Reclamation and oversaw major Western water projects, including the development associated with Hoover Dam.
-
C.
Tom Canty
Tom Canty is the impoverished London boy who swaps identities with Prince Edward in Mark Twain’s novel "The Prince and the Pauper," highlighting themes of class and social injustice.
-
D.
Harold Hill
Harold Hill is the charismatic, fast-talking con man and traveling salesman who drives the plot of the classic American musical "The Music Man."
-
E.
James Dooley
James Dooley is a composer best known for creating dramatic, cinematic music often used in film, television, and trailer scores.
- 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.