Triple
T14807249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Two Lovers |
E348068
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Leonard Kraditor |
E1120278
|
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: Leonard Kraditor | Statement: [Two Lovers, character, Leonard Kraditor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leonard Kraditor Context triple: [Two Lovers, character, Leonard Kraditor]
-
A.
Leonard Kraditor
chosen
Leonard Kraditor is a troubled, emotionally fragile man torn between familial expectations and passionate desire in the romantic drama film "Two Lovers."
-
B.
George Kozmetsky
George Kozmetsky was an American technology entrepreneur, investor, and educator best known as a co-founder of Teledyne and a major figure in fostering innovation and high-tech industry growth.
-
C.
Edward Zorinsky
Edward Zorinsky was a U.S. Senator from Nebraska and former mayor of Omaha known for his moderate Democratic politics and service in the late 20th century.
-
D.
Lawrence Kasha
Lawrence Kasha was an American theatre producer and director best known for his work on Broadway musicals and adaptations.
-
E.
Walter Reder
Walter Reder was an Austrian SS officer and war criminal notorious for leading brutal anti-partisan operations in Italy during World War II.
- 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_69d822ea8b7c819097dfadf3d45545e6 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decf33b6a08190ab6a4cfeda2cc09c |
completed | April 14, 2026, 11:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe3893c760819094ce1d63478a39ce |
completed | May 8, 2026, 7:25 p.m. |
Created at: April 10, 2026, 1:41 a.m.