Triple
T13753652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carla Tortelli |
E330418
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Eddie LeBec
Eddie LeBec is a recurring character on the TV sitcom "Cheers," known as a French-Canadian hockey goalie who becomes Carla Tortelli’s husband.
|
E1067427
|
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: Eddie LeBec | Statement: [Carla Tortelli, spouse, Eddie LeBec]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eddie LeBec Context triple: [Carla Tortelli, spouse, Eddie LeBec]
-
A.
Eddie Moran
Eddie Moran was an American screenwriter active during Hollywood’s classic era, known for contributing to popular films such as the 1937 comedy-fantasy "Topper."
-
B.
Eddie Garr
Eddie Garr was an American actor and comedian best known as the father of actress Teri Garr.
-
C.
Rob Bourdon
Rob Bourdon is an American musician best known as the drummer and a founding member of the rock band Linkin Park.
-
D.
Phil Leotardo
Phil Leotardo is a ruthless New York mob boss and major antagonist in the television series "The Sopranos."
-
E.
Ray McDeere
Ray McDeere is the ambitious young lawyer who serves as the central protagonist in John Grisham’s legal thriller "The Firm," navigating a corrupt law firm and a dangerous web of crime and conspiracy.
- 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: Eddie LeBec Triple: [Carla Tortelli, spouse, Eddie LeBec]
Generated description
Eddie LeBec is a recurring character on the TV sitcom "Cheers," known as a French-Canadian hockey goalie who becomes Carla Tortelli’s husband.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Eddie LeBec Target entity description: Eddie LeBec is a recurring character on the TV sitcom "Cheers," known as a French-Canadian hockey goalie who becomes Carla Tortelli’s husband.
-
A.
Eddie Moran
Eddie Moran was an American screenwriter active during Hollywood’s classic era, known for contributing to popular films such as the 1937 comedy-fantasy "Topper."
-
B.
Eddie Garr
Eddie Garr was an American actor and comedian best known as the father of actress Teri Garr.
-
C.
Rob Bourdon
Rob Bourdon is an American musician best known as the drummer and a founding member of the rock band Linkin Park.
-
D.
Phil Leotardo
Phil Leotardo is a ruthless New York mob boss and major antagonist in the television series "The Sopranos."
-
E.
Ray McDeere
Ray McDeere is the ambitious young lawyer who serves as the central protagonist in John Grisham’s legal thriller "The Firm," navigating a corrupt law firm and a dangerous web of crime and conspiracy.
- 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_69d81c573f288190aa2403d484fa3d49 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0215cfa08190aaed8b089aff217b |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c6fe88348190aa9803f7d6d67023 |
completed | May 3, 2026, 10:06 p.m. |
| NEDg | Description generation | batch_69f7c807e70c8190b15a7d4608a17591 |
completed | May 3, 2026, 10:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7c8f2b5588190b6143d676eb648a0 |
completed | May 3, 2026, 10:15 p.m. |
Created at: April 9, 2026, 10:09 p.m.