Triple
T14641995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burt Young |
E343746
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | DeLouise |
E343746
|
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: DeLouise | Statement: [Burt Young, familyName, DeLouise]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DeLouise Context triple: [Burt Young, familyName, DeLouise]
-
A.
DeLouise
chosen
DeLouise is the family surname of American actor Burt Young, best known for his role as Paulie in the "Rocky" film series.
-
B.
Claretta
Claretta was the nickname of Claretta Petacci, the Italian mistress of dictator Benito Mussolini who was executed alongside him in 1945.
-
C.
DeBlois
DeBlois is a French-origin surname borne by various notable individuals, including filmmakers and public figures.
-
D.
Lyonne
Lyonne is the surname of American actress, writer, director, and producer Natasha Lyonne, known for her roles in "Orange Is the New Black" and "Russian Doll."
-
E.
LaRose
LaRose is a novel by Louise Erdrich that explores grief, justice, and intergenerational trauma within a contemporary Ojibwe community after a tragic accidental killing.
- 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_69d822e1a2cc81908e5bb93cf61ce3cc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4e80aa48190884bab800f357106 |
completed | April 14, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5d404e881908d26e684702ae122 |
completed | May 8, 2026, 12:23 p.m. |
Created at: April 10, 2026, 1:26 a.m.