Triple
T19544107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard Condon |
E488992
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Deborah Condon
Deborah Condon is the daughter of American political novelist Richard Condon, best known for writing "The Manchurian Candidate."
|
E1382372
|
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: Deborah Condon | Statement: [Richard Condon, hasChild, Deborah Condon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deborah Condon Context triple: [Richard Condon, hasChild, Deborah Condon]
-
A.
Kathryn Prescott
Kathryn Prescott is an English actress best known for her roles in the TV series "Skins" and the film "A Dog’s Journey."
-
B.
Melissa Compton
Melissa Compton is a character in the 1970 drama film "Joe," which explores generational conflict and social tensions in late-1960s America.
-
C.
Lisanne Falk
Lisanne Falk is an American actress best known for her role as one of the popular but cruel high school girls in the cult dark comedy film "Heathers."
-
D.
Emily Greer
Emily Greer is a notable individual recognized as a prominent bearer of the surname Greer.
-
E.
Teresa Nielsen Hayden
Teresa Nielsen Hayden is an American science fiction editor, writer, and influential blogger known for her work at Tor Books and her role in online fan communities.
- 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: Deborah Condon Triple: [Richard Condon, hasChild, Deborah Condon]
Generated description
Deborah Condon is the daughter of American political novelist Richard Condon, best known for writing "The Manchurian Candidate."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Deborah Condon Target entity description: Deborah Condon is the daughter of American political novelist Richard Condon, best known for writing "The Manchurian Candidate."
-
A.
Kathryn Prescott
Kathryn Prescott is an English actress best known for her roles in the TV series "Skins" and the film "A Dog’s Journey."
-
B.
Melissa Compton
Melissa Compton is a character in the 1970 drama film "Joe," which explores generational conflict and social tensions in late-1960s America.
-
C.
Lisanne Falk
Lisanne Falk is an American actress best known for her role as one of the popular but cruel high school girls in the cult dark comedy film "Heathers."
-
D.
Emily Greer
Emily Greer is a notable individual recognized as a prominent bearer of the surname Greer.
-
E.
Teresa Nielsen Hayden
Teresa Nielsen Hayden is an American science fiction editor, writer, and influential blogger known for her work at Tor Books and her role in online fan communities.
- 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_69d8e8db5b6c8190984b61f91981f575 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e638750b288190aecdb0e18a1add62 |
completed | April 20, 2026, 2:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a074e86e6ec81908c81fece17063d1f |
completed | May 15, 2026, 4:49 p.m. |
| NEDg | Description generation | batch_6a07508df47481908243632334ac7dae |
completed | May 15, 2026, 4:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07510c6a188190accce6a17202ace8 |
completed | May 15, 2026, 4:59 p.m. |
Created at: April 10, 2026, 1:41 p.m.