Triple
T4257814
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe Yule Jr. |
E96022
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Marge Lane |
E25765
|
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: Marge Lane | Statement: [Joe Yule Jr., spouse, Marge Lane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marge Lane Context triple: [Joe Yule Jr., spouse, Marge Lane]
-
A.
Marge Lane
chosen
Marge Lane was an American actress best known for being one of the early wives of film star Mickey Rooney.
-
B.
Jane Lane
Jane Lane is a fictional, sardonic high school student and aspiring artist from the animated television series "Daria."
-
C.
Rosemary Lane
Rosemary Lane was an American actress and singer best known as one of the Lane Sisters, who appeared in several popular Hollywood films of the 1930s and 1940s.
-
D.
Carrie Lane
Carrie Lane was the birth name of Carrie Chapman Catt, a prominent American suffragist and peace activist who led the campaign for women's right to vote in the United States.
-
E.
Melissa Lane
Melissa Lane is a political philosopher and scholar best known for her work on ancient Greek political thought and its relevance to contemporary political theory.
- 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_69b3454095ac81909c2494f7ff294af1 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34f7d20b48190a404638c68c31026 |
completed | March 12, 2026, 11:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5a88d3bf48190b26eb8ab848d320e |
completed | March 14, 2026, 6:27 p.m. |
Created at: March 12, 2026, 11:06 p.m.