Triple
T2458692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mad Men |
E54481
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object |
Janet Leahy
Janet Leahy is an American television writer and producer known for her work on acclaimed series such as Mad Men.
|
E297723
|
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: Janet Leahy | Statement: [Mad Men, executiveProducer, Janet Leahy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Janet Leahy Context triple: [Mad Men, executiveProducer, Janet Leahy]
-
A.
Judith Kilpatrick
Judith Kilpatrick is a notable individual recognized as a prominent bearer of the surname Kilpatrick.
-
B.
April H. Foley
April H. Foley is an American diplomat and public servant best known for serving as the U.S. Ambassador to Hungary.
-
C.
Janet Healy
Janet Healy is a film producer known for her work on animated features, including the 2012 adaptation of Dr. Seuss's "The Lorax."
-
D.
Betsy McCaughey
Betsy McCaughey is an American politician, writer, and former Lieutenant Governor of New York known for her conservative commentary and opposition to certain health care reforms.
-
E.
Cynthia Murphy
Cynthia Murphy is a central maternal character in the musical "Dear Evan Hansen," known as the caring but emotionally strained mother of Connor and Zoe Murphy.
- 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: Janet Leahy Triple: [Mad Men, executiveProducer, Janet Leahy]
Generated description
Janet Leahy is an American television writer and producer known for her work on acclaimed series such as Mad Men.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Janet Leahy Target entity description: Janet Leahy is an American television writer and producer known for her work on acclaimed series such as Mad Men.
-
A.
Judith Kilpatrick
Judith Kilpatrick is a notable individual recognized as a prominent bearer of the surname Kilpatrick.
-
B.
April H. Foley
April H. Foley is an American diplomat and public servant best known for serving as the U.S. Ambassador to Hungary.
-
C.
Janet Healy
Janet Healy is a film producer known for her work on animated features, including the 2012 adaptation of Dr. Seuss's "The Lorax."
-
D.
Betsy McCaughey
Betsy McCaughey is an American politician, writer, and former Lieutenant Governor of New York known for her conservative commentary and opposition to certain health care reforms.
-
E.
Cynthia Murphy
Cynthia Murphy is a central maternal character in the musical "Dear Evan Hansen," known as the caring but emotionally strained mother of Connor and Zoe Murphy.
- 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_69ab49dee84c819096b50a0049c347ac |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd10a35f88190b102a2cb5c88146e |
completed | March 7, 2026, 7:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc020a6f881909b045d7d93bb9880 |
completed | March 10, 2026, 6:54 a.m. |
| NEDg | Description generation | batch_69afc11fa5ec8190a0b495f6b71591ab |
completed | March 10, 2026, 6:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afc1f734dc8190a4861b05583f7018 |
completed | March 10, 2026, 7:02 a.m. |
Created at: March 6, 2026, 9:44 p.m.