Triple
T11344184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lane Pryce |
E268675
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Rebecca Pryce
Rebecca Pryce is a fictional character from the television series "Mad Men," known primarily as the wife of advertising executive Lane Pryce.
|
E993715
|
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: Rebecca Pryce | Statement: [Lane Pryce, spouse, Rebecca Pryce]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rebecca Pryce Context triple: [Lane Pryce, spouse, Rebecca Pryce]
-
A.
Margot Tennant
Margot Tennant, later Margot Asquith, was a prominent British socialite, author, and wit who became the influential second wife of Prime Minister H. H. Asquith.
-
B.
Tamsin Greig
Tamsin Greig is an English actress known for her work in television, film, and theatre, including prominent roles in "Green Wing," "Episodes," and "Friday Night Dinner."
-
C.
Oona Laurence
Oona Laurence is an American actress known for her breakout role in the Broadway production of "Matilda the Musical" and subsequent performances in film and television.
-
D.
Madeleine Harris
Madeleine Harris is a British actress best known for playing Judy Brown in the family film "Paddington" and its sequel.
-
E.
Tessa Menzies
Tessa Menzies is a child of California politician and governor Gavin Newsom.
- 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: Rebecca Pryce Triple: [Lane Pryce, spouse, Rebecca Pryce]
Generated description
Rebecca Pryce is a fictional character from the television series "Mad Men," known primarily as the wife of advertising executive Lane Pryce.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rebecca Pryce Target entity description: Rebecca Pryce is a fictional character from the television series "Mad Men," known primarily as the wife of advertising executive Lane Pryce.
-
A.
Margot Tennant
Margot Tennant, later Margot Asquith, was a prominent British socialite, author, and wit who became the influential second wife of Prime Minister H. H. Asquith.
-
B.
Tamsin Greig
Tamsin Greig is an English actress known for her work in television, film, and theatre, including prominent roles in "Green Wing," "Episodes," and "Friday Night Dinner."
-
C.
Oona Laurence
Oona Laurence is an American actress known for her breakout role in the Broadway production of "Matilda the Musical" and subsequent performances in film and television.
-
D.
Madeleine Harris
Madeleine Harris is a British actress best known for playing Judy Brown in the family film "Paddington" and its sequel.
-
E.
Tessa Menzies
Tessa Menzies is a child of California politician and governor Gavin Newsom.
- 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_69d6aacbe18081909e5fadb50082dd96 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea1f9574819089760c5b5908f09e |
completed | April 9, 2026, 6:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65e92f1808190a338d8406d651611 |
completed | May 2, 2026, 8:29 p.m. |
| NEDg | Description generation | batch_69f65fd6fa8c819094a31f8c2d8ee72d |
completed | May 2, 2026, 8:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f663fe2fac8190bb70c8f1b919d657 |
completed | May 2, 2026, 8:52 p.m. |
Created at: April 8, 2026, 9:33 p.m.