Triple
T2899301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marc Norman |
E62616
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Maggie Norman
Maggie Norman is known as the spouse of American screenwriter and playwright Marc Norman, co-writer of the film "Shakespeare in Love."
|
E307832
|
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: Maggie Norman | Statement: [Marc Norman, spouse, Maggie Norman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maggie Norman Context triple: [Marc Norman, spouse, Maggie Norman]
-
A.
Maggie McOmie
Maggie McOmie is an American actress best known for her role as LUH 3417 in George Lucas's 1971 science fiction film THX 1138.
-
B.
Molly Smith
Molly Smith is an American film producer known for her work on acclaimed movies such as the crime thriller "Sicario."
-
C.
Molly Smith
Molly Smith is a daughter of FedEx founder and CEO Frederick W. Smith.
-
D.
Annalee Whitmore
Annalee Whitmore is a screenwriter known for her work on the classic musical film "Babes in Arms."
-
E.
Lynn Bracken
Lynn Bracken is a central femme fatale character in the neo-noir crime film "L.A. Confidential," portrayed as a glamorous Veronica Lake look-alike entangled in the movie’s web of corruption and intrigue.
- 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: Maggie Norman Triple: [Marc Norman, spouse, Maggie Norman]
Generated description
Maggie Norman is known as the spouse of American screenwriter and playwright Marc Norman, co-writer of the film "Shakespeare in Love."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maggie Norman Target entity description: Maggie Norman is known as the spouse of American screenwriter and playwright Marc Norman, co-writer of the film "Shakespeare in Love."
-
A.
Maggie McOmie
Maggie McOmie is an American actress best known for her role as LUH 3417 in George Lucas's 1971 science fiction film THX 1138.
-
B.
Molly Smith
Molly Smith is an American film producer known for her work on acclaimed movies such as the crime thriller "Sicario."
-
C.
Molly Smith
Molly Smith is a daughter of FedEx founder and CEO Frederick W. Smith.
-
D.
Annalee Whitmore
Annalee Whitmore is a screenwriter known for her work on the classic musical film "Babes in Arms."
-
E.
Lynn Bracken
Lynn Bracken is a central femme fatale character in the neo-noir crime film "L.A. Confidential," portrayed as a glamorous Veronica Lake look-alike entangled in the movie’s web of corruption and intrigue.
- 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_69ab4c3e070c8190b78d3d2c005876dd |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abe0ad7bbc8190822738baa6935b74 |
completed | March 7, 2026, 8:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0318c544881909f6aabfb2d25e724 |
completed | March 10, 2026, 2:58 p.m. |
| NEDg | Description generation | batch_69b038fdc7e881909dd0b6fd4f692e4a |
completed | March 10, 2026, 3:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b03bca591c81908b3734cc8f2e712b |
completed | March 10, 2026, 3:42 p.m. |
Created at: March 6, 2026, 10:10 p.m.