Triple
T13499609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Mark Richman |
E320849
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Helen Richman
Helen Richman is known as the wife of American actor Peter Mark Richman.
|
E1128688
|
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 Richman | Statement: [Peter Mark Richman, spouse, Helen Richman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Helen Richman Context triple: [Peter Mark Richman, spouse, Helen Richman]
-
A.
Helen Brown
Helen Brown is an actress known for her role in the classic "The Twilight Zone" episode "Walking Distance."
-
B.
Helene Bradley
Helene Bradley is a fictional character appearing in Ernest Hemingway’s novel "To Have and Have Not."
-
C.
Helen Soby
Helen Soby is best known as the former wife of British television presenter and media personality Noel Edmonds.
-
D.
Helen Wright
Helen Wright is a wealthy, emotionally volatile socialite who becomes romantically entangled with a young violin prodigy in the film "Humoresque."
-
E.
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.
- 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 Richman Triple: [Peter Mark Richman, spouse, Helen Richman]
Generated description
Helen Richman is known as the wife of American actor Peter Mark Richman.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Helen Richman Target entity description: Helen Richman is known as the wife of American actor Peter Mark Richman.
-
A.
Helen Brown
Helen Brown is an actress known for her role in the classic "The Twilight Zone" episode "Walking Distance."
-
B.
Helene Bradley
Helene Bradley is a fictional character appearing in Ernest Hemingway’s novel "To Have and Have Not."
-
C.
Helen Soby
Helen Soby is best known as the former wife of British television presenter and media personality Noel Edmonds.
-
D.
Helen Wright
Helen Wright is a wealthy, emotionally volatile socialite who becomes romantically entangled with a young violin prodigy in the film "Humoresque."
-
E.
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.
- 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_69d807629d6c8190998f1b9bb12d2ed0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf4fab688190bdc746985b0c7338 |
completed | April 12, 2026, 2:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe7e70dc788190850278a40a5a62e4 |
completed | May 9, 2026, 12:23 a.m. |
| NEDg | Description generation | batch_69fe803875988190a4786db4ae0b0cbb |
completed | May 9, 2026, 12:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe80be100481908dcf07b683fc1411 |
completed | May 9, 2026, 12:33 a.m. |
Created at: April 9, 2026, 9:43 p.m.