Triple
T201020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mickey Rooney |
E4503
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Marge Lane
Marge Lane was an American actress best known for being one of the early wives of film star Mickey Rooney.
|
E25765
|
NE FINISHED |
How this triple was built (4 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: [Mickey Rooney, spouse, Marge Lane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marge Lane Context triple: [Mickey Rooney, spouse, Marge Lane]
-
A.
Lane
Lane is a common English surname borne by numerous notable individuals across fields such as science, politics, and the arts.
-
B.
Lynn
Lynn is a coastal city in northeastern Massachusetts, known as one of the larger urban centers in the Greater Boston metropolitan area.
-
C.
Nichols Bridgeway
Nichols Bridgeway is an elevated pedestrian bridge in Chicago that connects Millennium Park to the Art Institute of Chicago, offering views of the city skyline.
-
D.
South Hall Road
South Hall Road is a campus roadway or pedestrian route associated with the University of California, Berkeley, situated near the historic Sather Gate.
-
E.
Nancy
Nancy is a feminine given name of Hebrew origin meaning "grace" that became especially popular in English-speaking countries in the 20th century.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Marge Lane Triple: [Mickey Rooney, spouse, Marge Lane]
Generated description
Marge Lane was an American actress best known for being one of the early wives of film star Mickey Rooney.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marge Lane Target entity description: Marge Lane was an American actress best known for being one of the early wives of film star Mickey Rooney.
-
A.
Lane
Lane is a common English surname borne by numerous notable individuals across fields such as science, politics, and the arts.
-
B.
Lynn
Lynn is a coastal city in northeastern Massachusetts, known as one of the larger urban centers in the Greater Boston metropolitan area.
-
C.
Nichols Bridgeway
Nichols Bridgeway is an elevated pedestrian bridge in Chicago that connects Millennium Park to the Art Institute of Chicago, offering views of the city skyline.
-
D.
South Hall Road
South Hall Road is a campus roadway or pedestrian route associated with the University of California, Berkeley, situated near the historic Sather Gate.
-
E.
Nancy
Nancy is a feminine given name of Hebrew origin meaning "grace" that became especially popular in English-speaking countries in the 20th century.
- F. None of above. chosen
Provenance (5 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_69a25737567c81908f9c505300239181 |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25be47ea881909c296b30a0d47a65 |
completed | Feb. 28, 2026, 3:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3232f11a08190ad532c68d9e8e2da |
completed | Feb. 28, 2026, 5:17 p.m. |
| NEDg | Description generation | batch_69a3244be2b48190a44c07f04ddc623d |
completed | Feb. 28, 2026, 5:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a324b5516c8190bda5ecb3c4c0d370 |
completed | Feb. 28, 2026, 5:24 p.m. |
Created at: Feb. 28, 2026, 2:51 a.m.