Triple
T13064915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beth Boland |
E329296
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Danny Boland
Danny Boland is a fictional character from the television series "Good Girls," known as the son of main character Beth Boland.
|
E1025894
|
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: Danny Boland | Statement: [Beth Boland, hasChild, Danny Boland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Danny Boland Context triple: [Beth Boland, hasChild, Danny Boland]
-
A.
Eddie Boland
Eddie Boland was an American character actor of the silent and early sound film era, known for his comic supporting roles in numerous Hollywood productions.
-
B.
Denny Doherty
Denny Doherty was a Canadian singer and songwriter best known as a founding member and lead vocalist of the 1960s folk-rock group The Mamas & the Papas.
-
C.
Jim Duggan
Jim Duggan is an American professional wrestler best known for his patriotic "Hacksaw" persona in the World Wrestling Federation (WWF), where he famously carried a 2x4 and led crowds in chanting "USA!"
-
D.
Doug Bowne
Doug Bowne is a musician best known for his work with the new wave band Tom Tom Club.
-
E.
Jeff Grogan
Jeff Grogan is a television and film producer best known for his work as an executive producer on the series "Intervention."
- 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: Danny Boland Triple: [Beth Boland, hasChild, Danny Boland]
Generated description
Danny Boland is a fictional character from the television series "Good Girls," known as the son of main character Beth Boland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Danny Boland Target entity description: Danny Boland is a fictional character from the television series "Good Girls," known as the son of main character Beth Boland.
-
A.
Eddie Boland
Eddie Boland was an American character actor of the silent and early sound film era, known for his comic supporting roles in numerous Hollywood productions.
-
B.
Denny Doherty
Denny Doherty was a Canadian singer and songwriter best known as a founding member and lead vocalist of the 1960s folk-rock group The Mamas & the Papas.
-
C.
Jim Duggan
Jim Duggan is an American professional wrestler best known for his patriotic "Hacksaw" persona in the World Wrestling Federation (WWF), where he famously carried a 2x4 and led crowds in chanting "USA!"
-
D.
Doug Bowne
Doug Bowne is a musician best known for his work with the new wave band Tom Tom Club.
-
E.
Jeff Grogan
Jeff Grogan is a television and film producer best known for his work as an executive producer on the series "Intervention."
- 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980e9bdfc81908eb90fb50597df64 |
completed | April 10, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f5c771fc8190afb6b0f449c67294 |
completed | May 3, 2026, 7:14 a.m. |
| NEDg | Description generation | batch_69f6f694f8c48190adce4cddbf63777f |
completed | May 3, 2026, 7:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6f7d8bfa0819097b3d9175bc56933 |
completed | May 3, 2026, 7:23 a.m. |
Created at: April 9, 2026, 8:59 p.m.