Triple
T7026588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christopher Abbott |
E162961
|
entity |
| Predicate | portrayedCharacter |
P1668
|
FINISHED |
| Object |
Charlie Dattolo
Charlie Dattolo is a character from the television series "Girls," known as the on-and-off boyfriend of Marnie Michaels.
|
E659731
|
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: Charlie Dattolo | Statement: [Christopher Abbott, portrayedCharacter, Charlie Dattolo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charlie Dattolo Context triple: [Christopher Abbott, portrayedCharacter, Charlie Dattolo]
-
A.
Frank Santillo
Frank Santillo was an American film editor known for his work on numerous Hollywood productions, including classic Westerns.
-
B.
Joe D'Arco
Joe D'Arco is a musician best known as a former member of the American rock band Godsmack.
-
C.
Dominick Pangallo
Dominick Pangallo is an American politician serving as the mayor of Salem, Massachusetts.
-
D.
Charles Camarda
Charles Camarda is a NASA astronaut and aerospace engineer best known for flying on the Space Shuttle Discovery’s STS-114 “Return to Flight” mission following the Columbia disaster.
-
E.
Tony Corrente
Tony Corrente is an American football official best known for his long NFL refereeing career, including serving as the head referee for multiple high-profile games.
- 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: Charlie Dattolo Triple: [Christopher Abbott, portrayedCharacter, Charlie Dattolo]
Generated description
Charlie Dattolo is a character from the television series "Girls," known as the on-and-off boyfriend of Marnie Michaels.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Charlie Dattolo Target entity description: Charlie Dattolo is a character from the television series "Girls," known as the on-and-off boyfriend of Marnie Michaels.
-
A.
Frank Santillo
Frank Santillo was an American film editor known for his work on numerous Hollywood productions, including classic Westerns.
-
B.
Joe D'Arco
Joe D'Arco is a musician best known as a former member of the American rock band Godsmack.
-
C.
Dominick Pangallo
Dominick Pangallo is an American politician serving as the mayor of Salem, Massachusetts.
-
D.
Charles Camarda
Charles Camarda is a NASA astronaut and aerospace engineer best known for flying on the Space Shuttle Discovery’s STS-114 “Return to Flight” mission following the Columbia disaster.
-
E.
Tony Corrente
Tony Corrente is an American football official best known for his long NFL refereeing career, including serving as the head referee for multiple high-profile games.
- 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_69c6885b26248190a857541e3d10e299 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e1fd6ab48190865271e16e8ff669 |
completed | March 27, 2026, 8:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8029da4688190ae479d3f791aa1c2 |
completed | March 28, 2026, 4:32 p.m. |
| NEDg | Description generation | batch_69c80362bcb88190ad8c42f520d7dd56 |
completed | March 28, 2026, 4:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c803da5e2c819098814b16d14cf837 |
completed | March 28, 2026, 4:37 p.m. |
Created at: March 27, 2026, 2:35 p.m.