Triple
T10432074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Motivation |
E245938
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Denisia Andrews |
E300547
|
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: Denisia Andrews | Statement: [Motivation, writer, Denisia Andrews]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Denisia Andrews Context triple: [Motivation, writer, Denisia Andrews]
-
A.
Denisia Andrews
chosen
Denisia Andrews is a contemporary songwriter best known for co-writing major R&B and pop hits, including Beyoncé’s song “Cuff It.”
-
B.
Denise Mara
Denise Mara is the wife of New York Giants co-owner John Mara and a member of the prominent Mara family associated with the NFL franchise.
-
C.
Daphne Anderson
Daphne Anderson was a British actress known for her work in mid-20th-century film, television, and theatre, including roles in notable productions such as "The Prince and the Showgirl."
-
D.
Lila Leslie
Lila Leslie was a silent film actress active in the early 20th century, known for her roles in American dramas and melodramas.
-
E.
Elizabeth Dailey
Elizabeth Dailey is known primarily as the spouse of American actor and dancer Dan Dailey.
- 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_69d381bf3dc08190bf35a2643e4e8f22 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea64f12c81909861d0d5165da2a2 |
completed | April 7, 2026, 11:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9987838ac8190a6ba09305fc27621 |
completed | April 11, 2026, 12:40 a.m. |
Created at: April 6, 2026, 12:13 p.m.