Triple
T15592822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leonard Frey |
E374787
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Leonard Frey |
E374787
|
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 Frey | Statement: [Leonard Frey, name, Leonard Frey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leonard Frey Context triple: [Leonard Frey, name, Leonard Frey]
-
A.
Leonard Frey
chosen
Leonard Frey was an American actor best known for his Academy Award–nominated performance as Motel the tailor in the film adaptation of the musical "Fiddler on the Roof."
-
B.
Lester Freeman
Lester Freeman is a former Hofstra Pride men's basketball player recognized for his notable contributions to the program.
-
C.
Walter Fries
Walter Fries was a German Wehrmacht general during World War II who commanded armored and infantry units on multiple fronts, including in the Mediterranean theater.
-
D.
Charles Leickert
Charles Leickert was a 19th-century Dutch painter renowned for his atmospheric winter landscapes and cityscapes of the Netherlands.
-
E.
Leonard Hirschfield
Leonard Hirschfield was a cinematographer best known for his work on the 1962 psychological drama film "David and Lisa."
- 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_69d85cce25008190b13b52745fbd719b |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e5e43d48190a8fd367f13f1c7e1 |
completed | April 16, 2026, 2:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00bafb761881908e7a891ef390982a |
completed | May 10, 2026, 5:06 p.m. |
Created at: April 10, 2026, 4:12 a.m.