Triple
T13127588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christian Slater |
E311881
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Ryan Haddon
Ryan Haddon is an American journalist, television producer, and presenter known for her work on various entertainment and news programs.
|
E1023191
|
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: Ryan Haddon | Statement: [Christian Slater, spouse, Ryan Haddon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ryan Haddon Context triple: [Christian Slater, spouse, Ryan Haddon]
-
A.
Jim Shepard
Jim Shepard is an American author and screenwriter known for his critically acclaimed short stories and novels that often explore historical and speculative scenarios.
-
B.
Greg Grabianski
Greg Grabianski is a screenwriter best known for his work on the parody horror-comedy film "Scary Movie 2."
-
C.
Adam Haslett
Adam Haslett is an American author and journalist known for his critically acclaimed fiction exploring themes of mental illness, family, and contemporary politics.
-
D.
Alex Hirsch
Alex Hirsch is an American animator, writer, and producer best known as the creator of the Disney Channel animated series "Gravity Falls."
-
E.
Dan Erickson
Dan Erickson is a television writer and producer best known for creating the acclaimed sci-fi thriller series "Severance."
- 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: Ryan Haddon Triple: [Christian Slater, spouse, Ryan Haddon]
Generated description
Ryan Haddon is an American journalist, television producer, and presenter known for her work on various entertainment and news programs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ryan Haddon Target entity description: Ryan Haddon is an American journalist, television producer, and presenter known for her work on various entertainment and news programs.
-
A.
Jim Shepard
Jim Shepard is an American author and screenwriter known for his critically acclaimed short stories and novels that often explore historical and speculative scenarios.
-
B.
Greg Grabianski
Greg Grabianski is a screenwriter best known for his work on the parody horror-comedy film "Scary Movie 2."
-
C.
Adam Haslett
Adam Haslett is an American author and journalist known for his critically acclaimed fiction exploring themes of mental illness, family, and contemporary politics.
-
D.
Alex Hirsch
Alex Hirsch is an American animator, writer, and producer best known as the creator of the Disney Channel animated series "Gravity Falls."
-
E.
Dan Erickson
Dan Erickson is a television writer and producer best known for creating the acclaimed sci-fi thriller series "Severance."
- 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_69d806a9fe888190b081e2d9ea665d6c |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9819aac388190b59bf43cc6a49d0c |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e28e922881909584296adc95d9b4 |
completed | May 3, 2026, 5:52 a.m. |
| NEDg | Description generation | batch_69f6e6d4aedc819090e6433600db4b31 |
completed | May 3, 2026, 6:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6e79e40bc8190bcf72d719d4e88dd |
completed | May 3, 2026, 6:13 a.m. |
Created at: April 9, 2026, 9:07 p.m.