Triple
T7839395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sir John Tusa |
E181765
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Ann Tusa
Ann Tusa is a British historian and author known for her works on modern European history, often co-written with her husband, broadcaster and arts administrator Sir John Tusa.
|
E714820
|
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: Ann Tusa | Statement: [Sir John Tusa, spouse, Ann Tusa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ann Tusa Context triple: [Sir John Tusa, spouse, Ann Tusa]
-
A.
Ann Hearn
Ann Hearn is an American actress known for her supporting roles in film and television, including an appearance in the legal drama "The Accused."
-
B.
Ann Donahue
Ann Donahue is an American television writer and producer best known as a co-creator and longtime showrunner of the CSI franchise.
-
C.
Anna Nolin
Anna Nolin is an American educator and school district leader who serves as superintendent of the Newton Public Schools in Massachusetts.
-
D.
Ann Thomas
Ann Thomas is known primarily for her brief marriage to American musician and bandleader Ike Turner.
-
E.
Laura Rister
Laura Rister is a film producer and executive known for her work on independent and prestige projects, including the financial thriller "Margin Call."
- 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: Ann Tusa Triple: [Sir John Tusa, spouse, Ann Tusa]
Generated description
Ann Tusa is a British historian and author known for her works on modern European history, often co-written with her husband, broadcaster and arts administrator Sir John Tusa.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ann Tusa Target entity description: Ann Tusa is a British historian and author known for her works on modern European history, often co-written with her husband, broadcaster and arts administrator Sir John Tusa.
-
A.
Ann Hearn
Ann Hearn is an American actress known for her supporting roles in film and television, including an appearance in the legal drama "The Accused."
-
B.
Ann Donahue
Ann Donahue is an American television writer and producer best known as a co-creator and longtime showrunner of the CSI franchise.
-
C.
Anna Nolin
Anna Nolin is an American educator and school district leader who serves as superintendent of the Newton Public Schools in Massachusetts.
-
D.
Ann Thomas
Ann Thomas is known primarily for her brief marriage to American musician and bandleader Ike Turner.
-
E.
Laura Rister
Laura Rister is a film producer and executive known for her work on independent and prestige projects, including the financial thriller "Margin Call."
- 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_69ca8284a25c8190a1a20afad30da792 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb14c4680481908628d22bbe4842f4 |
completed | March 31, 2026, 12:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbda1033c819088372a46a74c575d |
completed | April 1, 2026, 6:39 a.m. |
| NEDg | Description generation | batch_69ccc24a39f88190995f076d1a7ec3e7 |
completed | April 1, 2026, 6:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ccc37f0ca88190b4e077f23dbbe6f8 |
completed | April 1, 2026, 7:04 a.m. |
Created at: March 30, 2026, 4:47 p.m.