Triple
T10734074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All I Could Do Was Cry |
E253145
|
entity |
| Predicate | lyricist |
P1360
|
FINISHED |
| Object | Gwen Gordy |
E360669
|
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: Gwen Gordy | Statement: [All I Could Do Was Cry, lyricist, Gwen Gordy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gwen Gordy Context triple: [All I Could Do Was Cry, lyricist, Gwen Gordy]
-
A.
Gwen Gordy Fuqua
chosen
Gwen Gordy Fuqua was an American songwriter, music executive, and key early figure in the development of Motown Records.
-
B.
Gwen Terry
Gwen Terry is best known as the wife of acclaimed American jazz trumpeter and flugelhornist Clark Terry.
-
C.
Gina Matthews
Gina Matthews is a film and television producer best known for her work on popular romantic comedies such as "13 Going on 30."
-
D.
Renee Gadd
Renee Gadd was a British actress active in the 1930s and 1940s, known for her roles in British cinema and theatre.
-
E.
Esther Gordy Edwards
Esther Gordy Edwards was a Motown executive and preservationist who played a key role in the label’s development and later safeguarded its legacy as a cultural institution.
- 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_69d6aa5d8be481909a43218b2bfdbe95 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d71020e1c881909e40f398de2bdd25 |
completed | April 9, 2026, 2:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de557c4ea4819090b0c6c2175e05ea |
completed | April 14, 2026, 2:55 p.m. |
Created at: April 8, 2026, 9:14 p.m.