Triple
T14711717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Snowfall |
E345561
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object |
Angela Lewis
Angela Lewis is an American actress best known for her role as Aunt Louie in the crime drama television series "Snowfall."
|
E1118391
|
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: Angela Lewis | Statement: [Snowfall, portrayedBy, Angela Lewis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Angela Lewis Context triple: [Snowfall, portrayedBy, Angela Lewis]
-
A.
Angela Lewis
Angela Lewis is a character in the romantic comedy film "Boomerang," serving as one of the key figures in the movie’s exploration of relationships and workplace dynamics.
-
B.
Angela Browne
Angela Browne was a British actress known for her film and television roles in the 1950s and 1960s.
-
C.
Angela Barnes
Angela Barnes is a British stand-up comedian and radio presenter known for her sharp, politically savvy comedy and regular appearances on BBC Radio 4.
-
D.
Angela Vannice
Angela Vannice is best known as the first wife of former Major League Baseball outfielder Johnny Damon.
-
E.
Angela Beesley
Angela Beesley is a British web entrepreneur best known as the co-founder of Wikia (now Fandom), a major community-driven wiki hosting platform.
- 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: Angela Lewis Triple: [Snowfall, portrayedBy, Angela Lewis]
Generated description
Angela Lewis is an American actress best known for her role as Aunt Louie in the crime drama television series "Snowfall."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Angela Lewis Target entity description: Angela Lewis is an American actress best known for her role as Aunt Louie in the crime drama television series "Snowfall."
-
A.
Angela Lewis
Angela Lewis is a character in the romantic comedy film "Boomerang," serving as one of the key figures in the movie’s exploration of relationships and workplace dynamics.
-
B.
Angela Browne
Angela Browne was a British actress known for her film and television roles in the 1950s and 1960s.
-
C.
Angela Barnes
Angela Barnes is a British stand-up comedian and radio presenter known for her sharp, politically savvy comedy and regular appearances on BBC Radio 4.
-
D.
Angela Vannice
Angela Vannice is best known as the first wife of former Major League Baseball outfielder Johnny Damon.
-
E.
Angela Beesley
Angela Beesley is a British web entrepreneur best known as the co-founder of Wikia (now Fandom), a major community-driven wiki hosting platform.
- 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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb982bf248190881e21a8a0861a3f |
completed | April 14, 2026, 10:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0ce17f688190a86979cca8b88494 |
completed | May 8, 2026, 4:18 p.m. |
| NEDg | Description generation | batch_69fe1547d7f8819097b2bdf3b8a10751 |
completed | May 8, 2026, 4:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe15ddc6ac819098c981367b970077 |
completed | May 8, 2026, 4:57 p.m. |
Created at: April 10, 2026, 1:28 a.m.