Triple
T12395342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marvin Gaye |
E296101
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object | Alberta Gay |
E296115
|
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: Alberta Gay | Statement: [Marvin Gaye, mother, Alberta Gay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alberta Gay Context triple: [Marvin Gaye, mother, Alberta Gay]
-
A.
Alberta Gay
chosen
Alberta Gay was the mother of legendary soul singer Marvin Gaye and a significant figure in his early life and personal history.
-
B.
Lyle Sturgeon
Lyle Sturgeon was an American football player who played as a tackle in the National Football League during the late 1930s.
-
C.
Baird Whitlock
Baird Whitlock is a fictional 1950s Hollywood movie star portrayed by George Clooney in the Coen brothers' film "Hail, Caesar!".
-
D.
Gavin Clark
Gavin Clark was an English singer-songwriter known for his emotive, folk-influenced work and frequent collaborations with filmmaker Shane Meadows.
-
E.
Aaron Hilmer
Aaron Hilmer is a German actor best known internationally for his role in the 2022 adaptation of "All Quiet on the Western Front."
- 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_69d6ad9e653c8190b1473c860ee53dae |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d93fd33f048190b205fd21dc513f6a |
completed | April 10, 2026, 6:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6347e27b4819085494babfe180488 |
completed | May 2, 2026, 5:29 p.m. |
Created at: April 8, 2026, 9:54 p.m.