Triple
T11760746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Chosen |
E279647
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Hildy Brooks
Hildy Brooks is an American actress known for her work in film and television, including a role in the adaptation of Chaim Potok’s novel "The Chosen."
|
E943804
|
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: Hildy Brooks | Statement: [The Chosen, castMember, Hildy Brooks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hildy Brooks Context triple: [The Chosen, castMember, Hildy Brooks]
-
A.
Hildy Parks
Hildy Parks was an American actress and television writer known for her work on stage, screen, and in creating and writing award shows.
-
B.
Hildy Johnson
Hildy Johnson is the fast-talking, ambitious newspaper reporter at the center of the classic newsroom comedy "The Front Page."
-
C.
Hildy Beyeler
Hildy Beyeler is a Swiss art patron known for co-founding the renowned Beyeler Foundation Museum, which houses one of Europe’s leading collections of modern and contemporary art.
-
D.
Hildy
Hildy is a brash, fast-talking New York City taxi driver and one of the central comic female leads in the musical "On the Town."
-
E.
Molly Lamont
Molly Lamont was a British-born film actress best known for her supporting roles in Hollywood comedies and dramas of the 1930s and 1940s.
- 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: Hildy Brooks Triple: [The Chosen, castMember, Hildy Brooks]
Generated description
Hildy Brooks is an American actress known for her work in film and television, including a role in the adaptation of Chaim Potok’s novel "The Chosen."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hildy Brooks Target entity description: Hildy Brooks is an American actress known for her work in film and television, including a role in the adaptation of Chaim Potok’s novel "The Chosen."
-
A.
Hildy Parks
Hildy Parks was an American actress and television writer known for her work on stage, screen, and in creating and writing award shows.
-
B.
Hildy Johnson
Hildy Johnson is the fast-talking, ambitious newspaper reporter at the center of the classic newsroom comedy "The Front Page."
-
C.
Hildy Beyeler
Hildy Beyeler is a Swiss art patron known for co-founding the renowned Beyeler Foundation Museum, which houses one of Europe’s leading collections of modern and contemporary art.
-
D.
Hildy
Hildy is a brash, fast-talking New York City taxi driver and one of the central comic female leads in the musical "On the Town."
-
E.
Molly Lamont
Molly Lamont was a British-born film actress best known for her supporting roles in Hollywood comedies and dramas of the 1930s and 1940s.
- 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_69d6ab01038c819080714901502c84fc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a52386708190b744746a2db37495 |
completed | April 10, 2026, 7:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f01a4be7c481908deab31f2ee20e0c |
completed | April 28, 2026, 2:24 a.m. |
| NEDg | Description generation | batch_69f043b3c51c8190a764433e86f1333e |
completed | April 28, 2026, 5:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f05af9ce808190bc6c1ec2cb9903f9 |
completed | April 28, 2026, 7 a.m. |
Created at: April 8, 2026, 9:41 p.m.