Triple
T815246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leverage |
E17638
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object |
Gina Bellman
Gina Bellman is a New Zealand-born British actress best known for playing master thief and grifter Sophie Devereaux on the television series "Leverage."
|
E98905
|
NE FINISHED |
How this triple was built (4 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: [Leverage, portrayedBy, Gina Bellman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gina Bellman Context triple: [Leverage, portrayedBy, Gina Bellman]
-
A.
Julie Gillis
Julie Gillis is the charming, commitment-wary nightclub agent at the center of the 1955 romantic comedy film "The Tender Trap," whose bachelor lifestyle is upended by unexpected love.
-
B.
Colleen Sostorics
Colleen Sostorics is a Canadian former ice hockey defenceman and three-time Olympic gold medallist who starred with the national women’s team.
-
C.
Melissa Agretti
Melissa Agretti is a central, scheming heiress character from the 1980s American prime-time soap opera "Falcon Crest."
-
D.
Lila Hotz
Lila Hotz was the first wife of American magazine magnate Henry Luce, co-founder of Time Inc.
-
E.
Erin McDermott
Erin McDermott is a collegiate sports administrator best known as the athletic director at Harvard University.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Gina Bellman Triple: [Leverage, portrayedBy, Gina Bellman]
Generated description
Gina Bellman is a New Zealand-born British actress best known for playing master thief and grifter Sophie Devereaux on the television series "Leverage."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gina Bellman Target entity description: Gina Bellman is a New Zealand-born British actress best known for playing master thief and grifter Sophie Devereaux on the television series "Leverage."
-
A.
Julie Gillis
Julie Gillis is the charming, commitment-wary nightclub agent at the center of the 1955 romantic comedy film "The Tender Trap," whose bachelor lifestyle is upended by unexpected love.
-
B.
Colleen Sostorics
Colleen Sostorics is a Canadian former ice hockey defenceman and three-time Olympic gold medallist who starred with the national women’s team.
-
C.
Melissa Agretti
Melissa Agretti is a central, scheming heiress character from the 1980s American prime-time soap opera "Falcon Crest."
-
D.
Lila Hotz
Lila Hotz was the first wife of American magazine magnate Henry Luce, co-founder of Time Inc.
-
E.
Erin McDermott
Erin McDermott is a collegiate sports administrator best known as the athletic director at Harvard University.
- F. None of above. chosen
Provenance (5 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_69a4937bcaac8190a322524ac6f45a5a |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4ab5157b08190b6c8f2fd455f261e |
completed | March 1, 2026, 9:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7928d2ee8819091dbef1dd5272f6f |
completed | March 4, 2026, 2:01 a.m. |
| NEDg | Description generation | batch_69a793417d8c8190816a6185c79fdb95 |
completed | March 4, 2026, 2:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a79407b61c8190b615b82ac9139fed |
completed | March 4, 2026, 2:08 a.m. |
Created at: March 1, 2026, 7:38 p.m.