Triple
T9425856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apollonia 6 |
E227261
|
entity |
| Predicate | member |
P10
|
FINISHED |
| Object | Susan Moonsie |
E806299
|
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: Susan Moonsie | Statement: [Apollonia 6, member, Susan Moonsie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Susan Moonsie Context triple: [Apollonia 6, member, Susan Moonsie]
-
A.
Susan Moonsie
chosen
Susan Moonsie is an American singer and performer best known as a member of Prince’s 1980s girl group Vanity 6.
-
B.
Tanya Scholey
Tanya Scholey is the wife of British wildlife filmmaker and producer Keith Scholey.
-
C.
Laura Mennell
Laura Mennell is a Canadian actress known for her roles in science fiction and fantasy film and television, including appearances in projects like Watchmen and the series Alphas.
-
D.
Susan Dougan
Susan Dougan is a Vincentian public figure who serves as the Governor-General and de facto representative of the British monarch in Saint Vincent and the Grenadines.
-
E.
Shiri Appleby
Shiri Appleby is an American actress best known for her lead role in the TV series "Roswell" and her later work on shows like "UnREAL."
- 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_69ca8436ba308190903e470776d2d893 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd7c908738819081df35c632f35f04 |
completed | April 1, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1611c908c8190aea6768e5659c3ca |
completed | April 4, 2026, 7:06 p.m. |
Created at: March 30, 2026, 7:49 p.m.