Triple
T18964486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dick Mitchison |
E463997
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Naomi Haldane
Naomi Haldane was a British academic and writer, known for her work in genetics and for being part of the prominent Haldane scientific family.
|
E1352247
|
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: Naomi Haldane | Statement: [Dick Mitchison, spouse, Naomi Haldane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Naomi Haldane Context triple: [Dick Mitchison, spouse, Naomi Haldane]
-
A.
Naomi Lowde-Priestley
Naomi Lowde-Priestley is a British-born makeup artist and businesswoman known for her work in the entertainment industry and her marriage to actor Jason Priestley.
-
B.
Jennifer Mordaunt
Jennifer Mordaunt is a relative of British Conservative politician Penny Mordaunt.
-
C.
Naomi Geraghty
Naomi Geraghty is a film and television editor known for her work on projects such as the series "Voyagers."
-
D.
Naomi Geraghty
Naomi Geraghty is a film editor known for her work on feature films such as the comedy-drama "The Upside."
-
E.
Natasha Rothwell
Natasha Rothwell is an American actress, writer, and comedian known for her roles in projects like Insecure, The White Lotus, and various film and television comedies.
- 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: Naomi Haldane Triple: [Dick Mitchison, spouse, Naomi Haldane]
Generated description
Naomi Haldane was a British academic and writer, known for her work in genetics and for being part of the prominent Haldane scientific family.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Naomi Haldane Target entity description: Naomi Haldane was a British academic and writer, known for her work in genetics and for being part of the prominent Haldane scientific family.
-
A.
Naomi Lowde-Priestley
Naomi Lowde-Priestley is a British-born makeup artist and businesswoman known for her work in the entertainment industry and her marriage to actor Jason Priestley.
-
B.
Jennifer Mordaunt
Jennifer Mordaunt is a relative of British Conservative politician Penny Mordaunt.
-
C.
Naomi Geraghty
Naomi Geraghty is a film and television editor known for her work on projects such as the series "Voyagers."
-
D.
Naomi Geraghty
Naomi Geraghty is a film editor known for her work on feature films such as the comedy-drama "The Upside."
-
E.
Natasha Rothwell
Natasha Rothwell is an American actress, writer, and comedian known for her roles in projects like Insecure, The White Lotus, and various film and television comedies.
- 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_69d8dcffc278819086792a4ebfddfafa |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d5d5365881909dcbb4988d273b24 |
completed | April 20, 2026, 7:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05ad351160819090f58e19670cc69c |
completed | May 14, 2026, 11:08 a.m. |
| NEDg | Description generation | batch_6a05aedf05c4819096ac6a61ada4b310 |
completed | May 14, 2026, 11:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05afe523208190a97142cd8e3b887b |
completed | May 14, 2026, 11:20 a.m. |
Created at: April 10, 2026, noon