Triple
T4559853
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Good Girls Revolt |
E120565
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object |
Jill Gordon
Jill Gordon is a television producer and writer best known for her work on series such as *The Good Girls Revolt*.
|
E517239
|
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: Jill Gordon | Statement: [The Good Girls Revolt, executiveProducer, Jill Gordon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jill Gordon Context triple: [The Good Girls Revolt, executiveProducer, Jill Gordon]
-
A.
Janice Gordon
Janice Gordon is known as the first wife of American country music singer Kenny Rogers, whom he married before rising to fame.
-
B.
Jill Moore
Jill Moore is best known as the former wife of English musician and former Genesis frontman Peter Gabriel.
-
C.
Jill O'Hara
Jill O'Hara is an American actress and singer best known for her work on Broadway, including originating the role of Fran Kubelik in the musical "Promises, Promises."
-
D.
Julie Hagerty
Julie Hagerty is an American actress and former model best known for her comedic roles in films such as "Airplane!" and "What About Bob?".
-
E.
Gillian Greene
Gillian Greene is an American actress and filmmaker, known for her work in film and television and for being married to director Sam Raimi.
- 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: Jill Gordon Triple: [The Good Girls Revolt, executiveProducer, Jill Gordon]
Generated description
Jill Gordon is a television producer and writer best known for her work on series such as *The Good Girls Revolt*.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jill Gordon Target entity description: Jill Gordon is a television producer and writer best known for her work on series such as *The Good Girls Revolt*.
-
A.
Janice Gordon
Janice Gordon is known as the first wife of American country music singer Kenny Rogers, whom he married before rising to fame.
-
B.
Jill Moore
Jill Moore is best known as the former wife of English musician and former Genesis frontman Peter Gabriel.
-
C.
Jill O'Hara
Jill O'Hara is an American actress and singer best known for her work on Broadway, including originating the role of Fran Kubelik in the musical "Promises, Promises."
-
D.
Julie Hagerty
Julie Hagerty is an American actress and former model best known for her comedic roles in films such as "Airplane!" and "What About Bob?".
-
E.
Gillian Greene
Gillian Greene is an American actress and filmmaker, known for her work in film and television and for being married to director Sam Raimi.
- 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_69bd4636f1648190a701445c2fcd9c17 |
completed | March 20, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69bd582b871c8190be0b70c76d639000 |
completed | March 20, 2026, 2:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf32f31ecc81909cb29b762481b08e |
completed | March 22, 2026, 12:08 a.m. |
| NEDg | Description generation | batch_69bf33e3b9ac819091cb000a98a505cd |
completed | March 22, 2026, 12:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf349a746481909a8ba2a854e29449 |
completed | March 22, 2026, 12:15 a.m. |
Created at: March 20, 2026, 1:09 p.m.