Triple
T9578969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Exes |
E231119
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Phil Chase
Phil Chase is a central character in the sitcom "The Exes," known as a charming and often hapless divorce attorney navigating life and relationships alongside his quirky roommates.
|
E809327
|
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: Phil Chase | Statement: [The Exes, mainCharacter, Phil Chase]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Phil Chase Context triple: [The Exes, mainCharacter, Phil Chase]
-
A.
Chris Chasse
Chris Chasse is an American guitarist best known for his tenure with the punk rock band Rise Against during the early 2000s.
-
B.
Eric Danchick
Eric Danchick is a film producer known for his work on the movie "Bound 2."
-
C.
Chris Chesser
Chris Chesser is an American film and television producer best known for producing the hit baseball comedy film "Major League."
-
D.
Jere Shea
Jere Shea is an American actor best known for his work in television and theater, including a prominent role in the crime drama series "City on a Hill."
-
E.
Hal Chase
Hal Chase was an early 20th-century American first baseman renowned for his defensive brilliance but notorious for his involvement in gambling and game-fixing scandals.
- 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: Phil Chase Triple: [The Exes, mainCharacter, Phil Chase]
Generated description
Phil Chase is a central character in the sitcom "The Exes," known as a charming and often hapless divorce attorney navigating life and relationships alongside his quirky roommates.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Phil Chase Target entity description: Phil Chase is a central character in the sitcom "The Exes," known as a charming and often hapless divorce attorney navigating life and relationships alongside his quirky roommates.
-
A.
Chris Chasse
Chris Chasse is an American guitarist best known for his tenure with the punk rock band Rise Against during the early 2000s.
-
B.
Eric Danchick
Eric Danchick is a film producer known for his work on the movie "Bound 2."
-
C.
Chris Chesser
Chris Chesser is an American film and television producer best known for producing the hit baseball comedy film "Major League."
-
D.
Jere Shea
Jere Shea is an American actor best known for his work in television and theater, including a prominent role in the crime drama series "City on a Hill."
-
E.
Hal Chase
Hal Chase was an early 20th-century American first baseman renowned for his defensive brilliance but notorious for his involvement in gambling and game-fixing scandals.
- 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_69d1615d093c8190940037e9e0842db5 |
completed | April 4, 2026, 7:07 p.m. |
| NEDg | Description generation | batch_69d161e6a1308190932c8386e1c24f2e |
completed | April 4, 2026, 7:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d165a8c80081909e4d0837cbaabf95 |
completed | April 4, 2026, 7:25 p.m. |
Created at: March 30, 2026, 8:05 p.m.