Triple
T12860915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Hustle |
E307583
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object |
Emma Davies
Emma Davies is an actress known for her role in the television series "The Hustle."
|
E1035709
|
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 Davies | Statement: [The Hustle, hasCastMember, Emma Davies]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emma Davies Context triple: [The Hustle, hasCastMember, Emma Davies]
-
A.
May Davies
May Davies was the mother of Romanian-born American actor and producer John Houseman.
-
B.
Beth Dawes
Beth Dawes is a married suburban woman in the television series "Mad Men" who becomes romantically involved with advertising executive Pete Campbell.
-
C.
Helen Davies
Helen Davies was the first wife of American actor George Peppard, with whom she was married in the 1950s and early 1960s.
-
D.
Bronwen Maddox
Bronwen Maddox is a British journalist and policy analyst who has held prominent leadership roles in UK public policy and media organizations.
-
E.
Emily Davies
Emily Davies was a pioneering British feminist and educational reformer who played a key role in opening university education to women in the 19th century.
- 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 Davies Triple: [The Hustle, hasCastMember, Emma Davies]
Generated description
Emma Davies is an actress known for her role in the television series "The Hustle."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Emma Davies Target entity description: Emma Davies is an actress known for her role in the television series "The Hustle."
-
A.
May Davies
May Davies was the mother of Romanian-born American actor and producer John Houseman.
-
B.
Beth Dawes
Beth Dawes is a married suburban woman in the television series "Mad Men" who becomes romantically involved with advertising executive Pete Campbell.
-
C.
Helen Davies
Helen Davies was the first wife of American actor George Peppard, with whom she was married in the 1950s and early 1960s.
-
D.
Bronwen Maddox
Bronwen Maddox is a British journalist and policy analyst who has held prominent leadership roles in UK public policy and media organizations.
-
E.
Emily Davies
Emily Davies was a pioneering British feminist and educational reformer who played a key role in opening university education to women in the 19th century.
- 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_69d7bdf5e7cc8190be357278bc5ba3bb |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9708ba74881909b16c1e2ef5115db |
completed | April 10, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f71f0c11f88190b0f0fa1d0ec74a8d |
completed | May 3, 2026, 10:10 a.m. |
| NEDg | Description generation | batch_69f721b1a5d88190b9075437c7ab81a5 |
completed | May 3, 2026, 10:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f72262ede4819095b3dc4c7cd63450 |
completed | May 3, 2026, 10:24 a.m. |
Created at: April 9, 2026, 5:37 p.m.