Triple
T18832669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alexandra Holden |
E460573
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Alexandra Holden |
—
|
NE NERFINISHED |
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: Alexandra Holden | Statement: [Alexandra Holden, name, Alexandra Holden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alexandra Holden Context triple: [Alexandra Holden, name, Alexandra Holden]
-
A.
Alexandra Holden
chosen
Alexandra Holden is an American actress known for her roles in films like "Drop Dead Gorgeous" and appearances on television series such as "Friends" and "Ally McBeal."
-
B.
Alexandra Byrne
Alexandra Byrne is an acclaimed British costume designer known for her intricate period costumes and award-winning work in both film and theatre.
-
C.
Alexandra Cave
Alexandra Cave is a limestone show cave in South Australia's Naracoorte Caves system, noted for its impressive speleothems and accessible guided tours.
-
D.
Alexandra Neil
Alexandra Neil is an American actress best known for her work on television soap operas and series in the 1980s and 1990s.
-
E.
Alexandra Marie Llewellyn
Alexandra Marie Llewellyn is best known as the second wife of American thriller novelist Tom Clancy.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dcf94c288190a06dea029ae4b223 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5a99a792c81908b9a0741ef6ee782 |
completed | April 20, 2026, 4:20 a.m. |
Created at: April 10, 2026, 11:56 a.m.