Triple
T11996230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chrissy Seaver |
E285536
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object |
Kristen Dohring
Kristen Dohring is an actress best known for playing Chrissy Seaver on the television sitcom "Growing Pains."
|
E988005
|
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: Kristen Dohring | Statement: [Chrissy Seaver, portrayedBy, Kristen Dohring]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kristen Dohring Context triple: [Chrissy Seaver, portrayedBy, Kristen Dohring]
-
A.
Kirsten Sheridan
Kirsten Sheridan is an Irish film director and screenwriter known for character-driven dramas such as "August Rush" and "Disco Pigs."
-
B.
Kirsten Nelson
Kirsten Nelson is an American actress best known for her role as police chief Karen Vick on the television series "Psych."
-
C.
Kaitlin Olson
Kaitlin Olson is an American actress and comedian best known for playing Dee Reynolds on the long-running sitcom "It's Always Sunny in Philadelphia."
-
D.
Emily Kinney
Emily Kinney is an American actress and singer best known for her role as Beth Greene on the television series "The Walking Dead."
-
E.
Rachel Van Dyken
Rachel Van Dyken is a contemporary American author best known for her popular romance novels and New York Times bestselling series.
- 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: Kristen Dohring Triple: [Chrissy Seaver, portrayedBy, Kristen Dohring]
Generated description
Kristen Dohring is an actress best known for playing Chrissy Seaver on the television sitcom "Growing Pains."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kristen Dohring Target entity description: Kristen Dohring is an actress best known for playing Chrissy Seaver on the television sitcom "Growing Pains."
-
A.
Kirsten Sheridan
Kirsten Sheridan is an Irish film director and screenwriter known for character-driven dramas such as "August Rush" and "Disco Pigs."
-
B.
Kirsten Nelson
Kirsten Nelson is an American actress best known for her role as police chief Karen Vick on the television series "Psych."
-
C.
Kaitlin Olson
Kaitlin Olson is an American actress and comedian best known for playing Dee Reynolds on the long-running sitcom "It's Always Sunny in Philadelphia."
-
D.
Emily Kinney
Emily Kinney is an American actress and singer best known for her role as Beth Greene on the television series "The Walking Dead."
-
E.
Rachel Van Dyken
Rachel Van Dyken is a contemporary American author best known for her popular romance novels and New York Times bestselling series.
- 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_69d6ab44a77c8190a652f4b27164e4ef |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903b211688190bfe6dd15c3f96d2f |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64b8062f88190bdb644a8e0b1ac5f |
completed | May 2, 2026, 7:07 p.m. |
| NEDg | Description generation | batch_69f64c535c9881908e5bf07d13fa73c5 |
completed | May 2, 2026, 7:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6508afef08190ac7a19b1ee90141e |
completed | May 2, 2026, 7:29 p.m. |
Created at: April 8, 2026, 9:46 p.m.