Triple
T4371435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gina Bellman |
E98905
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Gina Bellman |
E98905
|
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: Gina Bellman | Statement: [Gina Bellman, name, Gina Bellman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gina Bellman Context triple: [Gina Bellman, name, Gina Bellman]
-
A.
Gina Bellman
chosen
Gina Bellman is a New Zealand-born British actress best known for playing master thief and grifter Sophie Devereaux on the television series "Leverage."
-
B.
Lolita Ritmanis
Lolita Ritmanis is an Emmy-winning Latvian-American composer best known for her work on animated superhero series and films, including numerous DC Comics adaptations.
-
C.
Jen Lewin
Jen Lewin is an American interactive light and sculpture artist known for large-scale, technology-driven public art installations.
-
D.
Megan Ganz
Megan Ganz is an American television writer, producer, and director known for her work on acclaimed comedy series such as Community, Modern Family, and It's Always Sunny in Philadelphia.
-
E.
Melissa Stark
Melissa Stark is an American television sportscaster best known for her work as a sideline reporter on NFL broadcasts.
- 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_69b3454db3708190aeafd814413c4c3d |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3521dffbc8190b9300a7f4f64bdc0 |
completed | March 12, 2026, 11:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5e50bcc9481909b0b9d60198dce63 |
completed | March 14, 2026, 10:45 p.m. |
Created at: March 12, 2026, 11:17 p.m.