Triple
T12139448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Selina |
E289144
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Selina Griffiths |
E289144
|
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: Selina Griffiths | Statement: [Selina, hasNotableBearer, Selina Griffiths]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Selina Griffiths Context triple: [Selina, hasNotableBearer, Selina Griffiths]
-
A.
Selina Rogers
Selina Rogers is the central nightclub singer and performer in the 1943 musical film "Stormy Weather," around whom the story’s romantic and show-business plot revolves.
-
B.
Selina Cadell
Selina Cadell is a British actress and director known for her extensive work in film, television, and theatre, including roles in productions such as "Doc Martin" and "The Lady in the Van."
-
C.
Selina
chosen
Selina is a feminine given name of Latin origin, commonly used in English-speaking countries.
-
D.
Mary Tuffley
Mary Tuffley was the wife of English writer Daniel Defoe, known primarily through her marriage to the famed author of "Robinson Crusoe."
-
E.
Mary Tuffley
Mary Tuffley is an individual whose specific public background or notable achievements are not clearly documented in widely available sources.
- 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_69d6ab4b5e4c81909950b17151eb0951 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9158eef48819083bdce283a363414 |
completed | April 10, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f690ae408190966bb4fe8feaa7d2 |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 8, 2026, 9:49 p.m.