Triple
T16622691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Cavanagh |
E403870
|
entity |
| Predicate | role |
P268
|
FINISHED |
| Object |
Conner in "Trust Me"
Conner in "Trust Me" is a central character in the 2009 TNT dramedy about the high-pressure world of Chicago advertising, portrayed by actor Tom Cavanagh.
|
E1224028
|
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: Conner in "Trust Me" | Statement: [Tom Cavanagh, role, Conner in "Trust Me"]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Conner in "Trust Me" Context triple: [Tom Cavanagh, role, Conner in "Trust Me"]
-
A.
Conner
Conner is the surname of American gymnast and Olympic gold medalist Bart Conner.
-
B.
Conner
Conner is a municipality located in the province of Apayao in the Cordillera Administrative Region of the Philippines.
-
C.
Connie
Connie is a fictional character from Mario Puzo's "The Godfather" series, known as the youngest child and only daughter of Vito Corleone.
-
D.
Connie
Connie is a character associated with Silky the Fairy, likely appearing in the same children’s fantasy setting as her friend.
-
E.
Connie
Connie is a feminine given name commonly used in English-speaking countries, often as a diminutive of Constance or Concepcion.
- 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: Conner in "Trust Me" Triple: [Tom Cavanagh, role, Conner in "Trust Me"]
Generated description
Conner in "Trust Me" is a central character in the 2009 TNT dramedy about the high-pressure world of Chicago advertising, portrayed by actor Tom Cavanagh.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Conner in "Trust Me" Target entity description: Conner in "Trust Me" is a central character in the 2009 TNT dramedy about the high-pressure world of Chicago advertising, portrayed by actor Tom Cavanagh.
-
A.
Conner
Conner is the surname of American gymnast and Olympic gold medalist Bart Conner.
-
B.
Conner
Conner is a municipality located in the province of Apayao in the Cordillera Administrative Region of the Philippines.
-
C.
Connie
Connie is a fictional character from Mario Puzo's "The Godfather" series, known as the youngest child and only daughter of Vito Corleone.
-
D.
Connie
Connie is a character associated with Silky the Fairy, likely appearing in the same children’s fantasy setting as her friend.
-
E.
Connie
Connie is a feminine given name commonly used in English-speaking countries, often as a diminutive of Constance or Concepcion.
- 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_69d883897eb481909eaaa088ba9918d9 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3754f4f508190a5b4b8511623fcd4 |
completed | April 18, 2026, 12:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007db4a9288190aea7db58bb379404 |
completed | May 10, 2026, 12:44 p.m. |
| NEDg | Description generation | batch_6a007e6507208190b3f32c05a2f647bd |
completed | May 10, 2026, 12:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a007f2cefa081908734a907da33a72f |
completed | May 10, 2026, 12:50 p.m. |
Created at: April 10, 2026, 5:17 a.m.