Triple
T17084460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Bachelor Party |
E414558
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Helen Samson
Helen Samson is the central protagonist of the film "The Bachelor Party," around whose experiences and perspective the story’s events primarily unfold.
|
E1280256
|
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: Helen Samson | Statement: [The Bachelor Party, mainCharacter, Helen Samson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Helen Samson Context triple: [The Bachelor Party, mainCharacter, Helen Samson]
-
A.
Helen Rosemond
Helen Rosemond is a fictional character portrayed by Academy Award–winning actress Louise Fletcher.
-
B.
Helen Smith
Helen Smith is an individual known primarily as the spouse of John Smith.
-
C.
Helen Humes
Helen Humes was an American jazz and blues singer known for her work with Count Basie’s orchestra and her versatile, swinging vocal style.
-
D.
Helen Graham
Helen Graham is the resilient and independent heroine of Anne Brontë’s novel "The Tenant of Wildfell Hall," known for fleeing an abusive marriage to protect herself and her child.
-
E.
Helen Wright
Helen Wright is a wealthy, emotionally volatile socialite who becomes romantically entangled with a young violin prodigy in the film "Humoresque."
- 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: Helen Samson Triple: [The Bachelor Party, mainCharacter, Helen Samson]
Generated description
Helen Samson is the central protagonist of the film "The Bachelor Party," around whose experiences and perspective the story’s events primarily unfold.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Helen Samson Target entity description: Helen Samson is the central protagonist of the film "The Bachelor Party," around whose experiences and perspective the story’s events primarily unfold.
-
A.
Helen Rosemond
Helen Rosemond is a fictional character portrayed by Academy Award–winning actress Louise Fletcher.
-
B.
Helen Smith
Helen Smith is an individual known primarily as the spouse of John Smith.
-
C.
Helen Humes
Helen Humes was an American jazz and blues singer known for her work with Count Basie’s orchestra and her versatile, swinging vocal style.
-
D.
Helen Graham
Helen Graham is the resilient and independent heroine of Anne Brontë’s novel "The Tenant of Wildfell Hall," known for fleeing an abusive marriage to protect herself and her child.
-
E.
Helen Wright
Helen Wright is a wealthy, emotionally volatile socialite who becomes romantically entangled with a young violin prodigy in the film "Humoresque."
- 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_69d886cef44c8190ba56c44b4e863e64 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbe60d588190963ccd4c86af1233 |
completed | April 18, 2026, 7:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a020a802100819089b8f643373fc5b1 |
completed | May 11, 2026, 4:57 p.m. |
| NEDg | Description generation | batch_6a020b1d34708190a97bbd8f63bfc8cb |
completed | May 11, 2026, 5 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0213212dd481908a332a14c1a22392 |
completed | May 11, 2026, 5:34 p.m. |
Created at: April 10, 2026, 5:35 a.m.