Triple
T9567815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duggan |
E230832
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Michael Duggan
Michael Duggan is a television producer and writer known for his work on several American crime and drama series.
|
E807645
|
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: Michael Duggan | Statement: [Duggan, hasNotableBearer, Michael Duggan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Duggan Context triple: [Duggan, hasNotableBearer, Michael Duggan]
-
A.
John DiIulio
John DiIulio is an American political scientist and public policy expert known for his work on criminal justice, faith-based initiatives, and government performance.
-
B.
Mark McGann
Mark McGann is an English actor and director known for his work in television, film, and theatre, and as one of the four acting McGann brothers.
-
C.
Brian Lynch
Brian Lynch is an American screenwriter and comic book writer best known for his work on animated films such as "The Secret Life of Pets" and the "Despicable Me" franchise.
-
D.
Brian Lynch
Brian Lynch is a Grammy-winning American jazz trumpeter and composer known for his work in Latin jazz and collaborations with artists such as Art Blakey and Eddie Palmieri.
-
E.
John Femia
John Femia is an actor known for playing the character Marshall Blechtman.
- 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: Michael Duggan Triple: [Duggan, hasNotableBearer, Michael Duggan]
Generated description
Michael Duggan is a television producer and writer known for his work on several American crime and drama series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Duggan Target entity description: Michael Duggan is a television producer and writer known for his work on several American crime and drama series.
-
A.
John DiIulio
John DiIulio is an American political scientist and public policy expert known for his work on criminal justice, faith-based initiatives, and government performance.
-
B.
Mark McGann
Mark McGann is an English actor and director known for his work in television, film, and theatre, and as one of the four acting McGann brothers.
-
C.
Brian Lynch
Brian Lynch is an American screenwriter and comic book writer best known for his work on animated films such as "The Secret Life of Pets" and the "Despicable Me" franchise.
-
D.
Brian Lynch
Brian Lynch is a Grammy-winning American jazz trumpeter and composer known for his work in Latin jazz and collaborations with artists such as Art Blakey and Eddie Palmieri.
-
E.
John Femia
John Femia is an actor known for playing the character Marshall Blechtman.
- 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_69ca847f22188190a56e4a97625bef22 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9987cb0c8190af32a1193de54890 |
completed | April 1, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d152b09c808190aff32419f2cbb15f |
completed | April 4, 2026, 6:04 p.m. |
| NEDg | Description generation | batch_69d153d59844819086a0f50e6a7624b2 |
completed | April 4, 2026, 6:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1546a503c81908edc9588adabc172 |
completed | April 4, 2026, 6:11 p.m. |
Created at: March 30, 2026, 8:04 p.m.