Triple
T9578970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Exes |
E231119
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Haskell Lutz
Haskell Lutz is a quirky, scheming divorce attorney and one of the central comedic characters on the sitcom "The Exes."
|
E817684
|
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: Haskell Lutz | Statement: [The Exes, mainCharacter, Haskell Lutz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haskell Lutz Context triple: [The Exes, mainCharacter, Haskell Lutz]
-
A.
Paul Madvig
Paul Madvig is the politically connected fixer and central protagonist of the 1942 film noir "The Glass Key," navigating corruption, loyalty, and murder in a tense urban underworld.
-
B.
Louis Lingg
Louis Lingg was a German-born anarchist and labor activist best known as one of the defendants in the 1886 Haymarket affair in Chicago.
-
C.
William Wendt
William Wendt was a prominent American landscape painter celebrated as a leading figure of the California Impressionist movement.
-
D.
Max Lindauer
Max Lindauer is an individual notable enough to be recognized as a prominent bearer of the surname Lindauer.
-
E.
Edward Anhalt
Edward Anhalt was an American screenwriter and producer best known for his Academy Award–winning work on films such as "Panic in the Streets" and "Becket."
- 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: Haskell Lutz Triple: [The Exes, mainCharacter, Haskell Lutz]
Generated description
Haskell Lutz is a quirky, scheming divorce attorney and one of the central comedic characters on the sitcom "The Exes."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Haskell Lutz Target entity description: Haskell Lutz is a quirky, scheming divorce attorney and one of the central comedic characters on the sitcom "The Exes."
-
A.
Paul Madvig
Paul Madvig is the politically connected fixer and central protagonist of the 1942 film noir "The Glass Key," navigating corruption, loyalty, and murder in a tense urban underworld.
-
B.
Louis Lingg
Louis Lingg was a German-born anarchist and labor activist best known as one of the defendants in the 1886 Haymarket affair in Chicago.
-
C.
William Wendt
William Wendt was a prominent American landscape painter celebrated as a leading figure of the California Impressionist movement.
-
D.
Max Lindauer
Max Lindauer is an individual notable enough to be recognized as a prominent bearer of the surname Lindauer.
-
E.
Edward Anhalt
Edward Anhalt was an American screenwriter and producer best known for his Academy Award–winning work on films such as "Panic in the Streets" and "Becket."
- 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_69ca848091c48190bc313d6620d09555 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99aece1081908287e03106de020f |
completed | April 1, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1af53434c8190a93fec3538730d58 |
completed | April 5, 2026, 12:39 a.m. |
| NEDg | Description generation | batch_69d1b1a340d481908de95f04fcdd3bdd |
completed | April 5, 2026, 12:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1b2167d38819087f111e789cfc339 |
completed | April 5, 2026, 12:51 a.m. |
Created at: March 30, 2026, 8:05 p.m.