Triple
T20882024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madigan |
E514174
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Julia Madigan
Julia Madigan is a fictional character named Madigan, likely featured in a narrative work such as a novel, film, or television series.
|
E1458632
|
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: Julia Madigan | Statement: [Madigan, character, Julia Madigan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Julia Madigan Context triple: [Madigan, character, Julia Madigan]
-
A.
Kira Snyder
Kira Snyder is an American television and film writer known for her work on projects such as Pacific Rim: Uprising and the acclaimed series The Handmaid’s Tale.
-
B.
Rachel Kelley
Rachel Kelley was the mother of Jesse Root Grant and the paternal grandmother of U.S. President Ulysses S. Grant.
-
C.
Julia Sheehan
Julia Sheehan is known primarily as the wife of acclaimed American documentary filmmaker Errol Morris.
-
D.
Bridget Moynahan
Bridget Moynahan is an American actress and model best known for her roles in films like "Coyote Ugly" and "I, Robot" and the TV series "Blue Bloods."
-
E.
Laura Deming
Laura Deming is a venture capitalist and longevity researcher best known for founding The Longevity Fund, which invests in companies developing therapies to extend healthy human lifespan.
- 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: Julia Madigan Triple: [Madigan, character, Julia Madigan]
Generated description
Julia Madigan is a fictional character named Madigan, likely featured in a narrative work such as a novel, film, or television series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Julia Madigan Target entity description: Julia Madigan is a fictional character named Madigan, likely featured in a narrative work such as a novel, film, or television series.
-
A.
Kira Snyder
Kira Snyder is an American television and film writer known for her work on projects such as Pacific Rim: Uprising and the acclaimed series The Handmaid’s Tale.
-
B.
Rachel Kelley
Rachel Kelley was the mother of Jesse Root Grant and the paternal grandmother of U.S. President Ulysses S. Grant.
-
C.
Julia Sheehan
Julia Sheehan is known primarily as the wife of acclaimed American documentary filmmaker Errol Morris.
-
D.
Bridget Moynahan
Bridget Moynahan is an American actress and model best known for her roles in films like "Coyote Ugly" and "I, Robot" and the TV series "Blue Bloods."
-
E.
Laura Deming
Laura Deming is a venture capitalist and longevity researcher best known for founding The Longevity Fund, which invests in companies developing therapies to extend healthy human lifespan.
- 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_69e0b4f733f081908a401c0b7beb0b9f |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c67a33548190b0f5ba58b001d387 |
completed | April 21, 2026, 12:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0927795af481909263097b879a49b4 |
completed | May 17, 2026, 2:27 a.m. |
| NEDg | Description generation | batch_6a092836c24481908209bbf4816f0112 |
completed | May 17, 2026, 2:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a092862d5c88190877df16632dd1b77 |
completed | May 17, 2026, 2:30 a.m. |
Created at: April 16, 2026, 12:46 p.m.