Triple
T14618217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarah Murdoch |
E343144
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object |
Sarah O'Hare
Sarah O'Hare is an Australian model and television presenter who became widely known under her married name, Sarah Murdoch.
|
E1110791
|
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: Sarah O'Hare | Statement: [Sarah Murdoch, birthName, Sarah O'Hare]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarah O'Hare Context triple: [Sarah Murdoch, birthName, Sarah O'Hare]
-
A.
Leonora O’Reilly
Leonora O’Reilly was an American labor organizer and suffragist who became a prominent figure in the early 20th-century women’s rights and labor movements.
-
B.
Jane Boland
Jane Boland is a fictional character from the television series "Good Girls," known as the daughter of main character Beth Boland.
-
C.
Mary Reilly
Mary Reilly is a 1996 gothic drama film that reimagines the Dr. Jekyll and Mr. Hyde story from the perspective of a housemaid, starring Julia Roberts and John Malkovich.
-
D.
Kate O'Toole
Kate O'Toole is a British actress known for her work in film, television, and theatre, and for being the daughter of acclaimed actor Peter O'Toole.
-
E.
Mary Boland
Mary Boland was an American stage and film actress best known for her comedic character roles in early 20th-century Hollywood cinema.
- 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: Sarah O'Hare Triple: [Sarah Murdoch, birthName, Sarah O'Hare]
Generated description
Sarah O'Hare is an Australian model and television presenter who became widely known under her married name, Sarah Murdoch.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sarah O'Hare Target entity description: Sarah O'Hare is an Australian model and television presenter who became widely known under her married name, Sarah Murdoch.
-
A.
Leonora O’Reilly
Leonora O’Reilly was an American labor organizer and suffragist who became a prominent figure in the early 20th-century women’s rights and labor movements.
-
B.
Jane Boland
Jane Boland is a fictional character from the television series "Good Girls," known as the daughter of main character Beth Boland.
-
C.
Mary Reilly
Mary Reilly is a 1996 gothic drama film that reimagines the Dr. Jekyll and Mr. Hyde story from the perspective of a housemaid, starring Julia Roberts and John Malkovich.
-
D.
Kate O'Toole
Kate O'Toole is a British actress known for her work in film, television, and theatre, and for being the daughter of acclaimed actor Peter O'Toole.
-
E.
Mary Boland
Mary Boland was an American stage and film actress best known for her comedic character roles in early 20th-century Hollywood cinema.
- 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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb46550e48190af45f426f02579bb |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda924c7308190931c03fbac57b0bf |
completed | May 8, 2026, 9:13 a.m. |
| NEDg | Description generation | batch_69fdb234bc1c8190a85c802dfcfa7909 |
completed | May 8, 2026, 9:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdb36bd50c8190a8af992fe4b12bb6 |
completed | May 8, 2026, 9:57 a.m. |
Created at: April 10, 2026, 1:25 a.m.