Triple
T12870352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maggie Norman |
E307832
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Marc Norman
Marc Norman is an American screenwriter and producer best known for co-writing the Oscar-winning film "Shakespeare in Love."
|
E62616
|
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: Marc Norman | Statement: [Maggie Norman, spouse, Marc Norman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marc Norman Context triple: [Maggie Norman, spouse, Marc Norman]
-
A.
Mark Ormerod
Mark Ormerod is a senior British civil servant who has served as the Chief Executive of the Supreme Court of the United Kingdom, overseeing its administration and operations.
-
B.
Graham Hess
Graham Hess is a former Episcopal priest and widowed father who struggles with his faith while protecting his family during a mysterious alien invasion in the film "Signs."
-
C.
Nigel Hess
Nigel Hess is a British composer best known for his work on television, film, and theatre scores, including numerous BBC dramas and stage productions.
-
D.
Phil Woolpert
Phil Woolpert was a prominent American college basketball coach best known for leading the University of San Francisco to multiple national championships in the 1950s.
-
E.
Ian Gilroy
Ian Gilroy is a musician best known as a former member of the New Zealand rock band The Swingers.
- 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: Marc Norman Triple: [Maggie Norman, spouse, Marc Norman]
Generated description
Marc Norman is an American screenwriter and producer best known for co-writing the Oscar-winning film "Shakespeare in Love."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marc Norman Target entity description: Marc Norman is an American screenwriter and producer best known for co-writing the Oscar-winning film "Shakespeare in Love."
-
A.
Marc Norman
chosen
Marc Norman is an American screenwriter and producer best known for co-writing the Oscar-winning film "Shakespeare in Love."
-
B.
Mark Ormerod
Mark Ormerod is a senior British civil servant who has served as the Chief Executive of the Supreme Court of the United Kingdom, overseeing its administration and operations.
-
C.
Graham Hess
Graham Hess is a former Episcopal priest and widowed father who struggles with his faith while protecting his family during a mysterious alien invasion in the film "Signs."
-
D.
Nigel Hess
Nigel Hess is a British composer best known for his work on television, film, and theatre scores, including numerous BBC dramas and stage productions.
-
E.
Phil Woolpert
Phil Woolpert was a prominent American college basketball coach best known for leading the University of San Francisco to multiple national championships in the 1950s.
- F. None of above.
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_69d7bdf69bc48190af6c2621f28ca351 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d970905784819091631161a9de98c5 |
completed | April 10, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eaca8958819086df70db2ba497a5 |
completed | May 3, 2026, 6:27 a.m. |
| NEDg | Description generation | batch_69f6eea871588190b18d3987ee1a9bf2 |
completed | May 3, 2026, 6:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6ef02a6848190849876a0a6f32ffd |
completed | May 3, 2026, 6:45 a.m. |
Created at: April 9, 2026, 5:38 p.m.