Triple
T4424019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Woodlawn Cemetery (Detroit) |
E95166
|
entity |
| Predicate | notableBurial |
P196
|
FINISHED |
| Object | Albert Cobo |
E400993
|
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: Albert Cobo | Statement: [Woodlawn Cemetery (Detroit), notableBurial, Albert Cobo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Albert Cobo Context triple: [Woodlawn Cemetery (Detroit), notableBurial, Albert Cobo]
-
A.
Albert Cobo
chosen
Albert Cobo was a mid-20th-century mayor of Detroit known for his role in the city’s postwar urban development and fiscal management.
-
B.
Nacio Herb Brown
Nacio Herb Brown was an American composer best known for his popular film and stage songs of the 1920s and 1930s, many written with lyricist Arthur Freed for MGM musicals.
-
C.
Kim Boggs
Kim Boggs is the compassionate teenage girl who becomes Edward’s love interest and moral anchor in the fantasy film "Edward Scissorhands."
-
D.
Rance Cleaveland
Rance Cleaveland is a computer scientist known for his work in formal methods and model checking, particularly in the verification of concurrent and distributed systems.
-
E.
Elmer Layden
Elmer Layden was an American football player, coach, and executive best known as one of Notre Dame’s famed “Four Horsemen” and later as the first commissioner of the National Football League.
- 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_69b3453a36908190b95a79a297ca083c |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3554ca5208190ba2661616dcf071c |
completed | March 13, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5f62f7eb88190a02669845126e790 |
completed | March 14, 2026, 11:58 p.m. |
Created at: March 12, 2026, 11:30 p.m.