Triple
T11909849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beck |
E283363
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Lili Beck
Lili Beck is a person notable enough to be recognized as a bearer of the surname Beck, though specific widely known biographical details about her are not clearly established.
|
E954370
|
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: Lili Beck | Statement: [Beck, hasNotableBearer, Lili Beck]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lili Beck Context triple: [Beck, hasNotableBearer, Lili Beck]
-
A.
Lili Gentle
Lili Gentle is an American actress known for her film and television roles in the 1950s and 1960s.
-
B.
Lili Simmons
Lili Simmons is an American actress and model known for her roles in television series such as Banshee, True Detective, and The Purge.
-
C.
Lila Ash
Lila Ash is an American cartoonist and illustrator known for her candid, autobiographical comics exploring themes of sexuality, trauma, and identity.
-
D.
Lila Leslie
Lila Leslie was a silent film actress active in the early 20th century, known for her roles in American dramas and melodramas.
-
E.
Lila Hotz
Lila Hotz was the first wife of American magazine magnate Henry Luce, co-founder of Time Inc.
- 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: Lili Beck Triple: [Beck, hasNotableBearer, Lili Beck]
Generated description
Lili Beck is a person notable enough to be recognized as a bearer of the surname Beck, though specific widely known biographical details about her are not clearly established.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lili Beck Target entity description: Lili Beck is a person notable enough to be recognized as a bearer of the surname Beck, though specific widely known biographical details about her are not clearly established.
-
A.
Lili Gentle
Lili Gentle is an American actress known for her film and television roles in the 1950s and 1960s.
-
B.
Lili Simmons
Lili Simmons is an American actress and model known for her roles in television series such as Banshee, True Detective, and The Purge.
-
C.
Lila Ash
Lila Ash is an American cartoonist and illustrator known for her candid, autobiographical comics exploring themes of sexuality, trauma, and identity.
-
D.
Lila Leslie
Lila Leslie was a silent film actress active in the early 20th century, known for her roles in American dramas and melodramas.
-
E.
Lila Hotz
Lila Hotz was the first wife of American magazine magnate Henry Luce, co-founder of Time Inc.
- 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_69d6ab2c07e88190ba13b0d21fd6cf33 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8e5278eb081909a7ecfe38beeeda9 |
completed | April 10, 2026, 11:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f44004b454819091b41bac99895106 |
completed | May 1, 2026, 5:54 a.m. |
| NEDg | Description generation | batch_69f448fa8eec81909fe6ac0902f46998 |
completed | May 1, 2026, 6:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f44aef15148190ba8090681b921ffa |
completed | May 1, 2026, 6:40 a.m. |
Created at: April 8, 2026, 9:44 p.m.