Triple
T13392571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Lemp sisters |
E319611
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Emma Lemp
Emma Lemp was a member of the Lemp sisters, a group of women associated with the prominent Lemp family.
|
E1056509
|
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: Emma Lemp | Statement: [The Lemp sisters, hasMember, Emma Lemp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emma Lemp Context triple: [The Lemp sisters, hasMember, Emma Lemp]
-
A.
Emma Lamm
Emma Lamm was a Swedish woman best known as the wife and muse of renowned painter Anders Zorn, often appearing in his portraits and playing a key role in his social and artistic life.
-
B.
Emily Berrington
Emily Berrington is a British actress best known for her role as the synth Niska in the television series "Humans."
-
C.
Ruby Holbrook
Ruby Holbrook was the wife of acclaimed American actor Hal Holbrook.
-
D.
Elizabeth Anweis
Elizabeth Anweis is an American actress known for her work in film and television, including roles in projects such as The Caine Mutiny Court-Martial (2023).
-
E.
Emily Sargent
Emily Sargent was a British artist and watercolorist, best known for her landscapes and for being part of the culturally prominent Sargent family.
- 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: Emma Lemp Triple: [The Lemp sisters, hasMember, Emma Lemp]
Generated description
Emma Lemp was a member of the Lemp sisters, a group of women associated with the prominent Lemp family.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Emma Lemp Target entity description: Emma Lemp was a member of the Lemp sisters, a group of women associated with the prominent Lemp family.
-
A.
Emma Lamm
Emma Lamm was a Swedish woman best known as the wife and muse of renowned painter Anders Zorn, often appearing in his portraits and playing a key role in his social and artistic life.
-
B.
Emily Berrington
Emily Berrington is a British actress best known for her role as the synth Niska in the television series "Humans."
-
C.
Ruby Holbrook
Ruby Holbrook was the wife of acclaimed American actor Hal Holbrook.
-
D.
Elizabeth Anweis
Elizabeth Anweis is an American actress known for her work in film and television, including roles in projects such as The Caine Mutiny Court-Martial (2023).
-
E.
Emily Sargent
Emily Sargent was the wife of 19th-century Anglican bishop and prominent public figure Samuel Wilberforce.
- 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_69d806b886bc8190b676e7768b8e01c5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dba0d74e5881909828854bba7d9a87 |
completed | April 12, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d360c60819086a8168bdc092e1c |
completed | May 3, 2026, 7:08 p.m. |
| NEDg | Description generation | batch_69f79db9710c8190969503e28e2cda46 |
completed | May 3, 2026, 7:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f79e1dcc9481908a22dfd74445bc89 |
completed | May 3, 2026, 7:12 p.m. |
Created at: April 9, 2026, 9:34 p.m.