Triple
T1042015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anne Glass |
E22488
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Moon Bloodgood |
E116005
|
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: Moon Bloodgood | Statement: [Anne Glass, portrayedBy, Moon Bloodgood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moon Bloodgood Context triple: [Anne Glass, portrayedBy, Moon Bloodgood]
-
A.
Moon Bloodgood
chosen
Moon Bloodgood is an American actress and former model best known for her roles in science fiction films and television series, including the Terminator franchise.
-
B.
Mancy Carr
Mancy Carr was a jazz musician known for performing on the classic Louis Armstrong recording "West End Blues."
-
C.
Steffl
Steffl is the popular nickname for the iconic south tower of St. Stephen's Cathedral in Vienna, a prominent symbol of the city's skyline.
-
D.
Garth
Garth is a fictional character from the American prime-time television soap opera "Falcon Crest."
-
E.
Obetia
Obetia is a small genus of flowering plants in the nettle family Cannabaceae, known for its stinging hairs and occurrence in parts of Africa and nearby regions.
- 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_69a493d91478819094cc01fb65564bc1 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b82f6c14819080277443ea4722dd |
completed | March 1, 2026, 10:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac3bc768948190b1cda4eea93fe4b6 |
completed | March 7, 2026, 2:52 p.m. |
Created at: March 1, 2026, 7:42 p.m.