Triple
T9567819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duggan |
E230832
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Timothy Duggan
Timothy Duggan is a person notable enough to be recognized as a bearer of the surname Duggan.
|
E808843
|
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: Timothy Duggan | Statement: [Duggan, hasNotableBearer, Timothy Duggan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Timothy Duggan Context triple: [Duggan, hasNotableBearer, Timothy Duggan]
-
A.
Timothy Kelly
Timothy Kelly is the son of legendary American dancer, actor, and director Gene Kelly.
-
B.
Peter McNulty
Peter McNulty is a film editor known for his work on feature films including the military drama "Megan Leavey."
-
C.
Timothy Sullivan
Timothy Sullivan is a name shared by several notable individuals, including politicians, judges, and academics, whose specific identity depends on the context in which it is used.
-
D.
Jack Donnelly
Jack Donnelly is a British actor best known for starring as Jason in the BBC fantasy-adventure series "Atlantis."
-
E.
Anthony DeLuca
Anthony DeLuca is a character from the 1970s American sitcom "Blansky's Beauties," which followed the lives of Las Vegas showgirls and their manager.
- 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: Timothy Duggan Triple: [Duggan, hasNotableBearer, Timothy Duggan]
Generated description
Timothy Duggan is a person notable enough to be recognized as a bearer of the surname Duggan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Timothy Duggan Target entity description: Timothy Duggan is a person notable enough to be recognized as a bearer of the surname Duggan.
-
A.
Timothy Kelly
Timothy Kelly is the son of legendary American dancer, actor, and director Gene Kelly.
-
B.
Peter McNulty
Peter McNulty is a film editor known for his work on feature films including the military drama "Megan Leavey."
-
C.
Timothy Sullivan
Timothy Sullivan is a name shared by several notable individuals, including politicians, judges, and academics, whose specific identity depends on the context in which it is used.
-
D.
Jack Donnelly
Jack Donnelly is a British actor best known for starring as Jason in the BBC fantasy-adventure series "Atlantis."
-
E.
Anthony DeLuca
Anthony DeLuca is a character from the 1970s American sitcom "Blansky's Beauties," which followed the lives of Las Vegas showgirls and their manager.
- 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_69d16149c7808190b476ec06e9780a03 |
completed | April 4, 2026, 7:06 p.m. |
| NEDg | Description generation | batch_69d1621d5dbc81908cf2ecb6b96fb090 |
completed | April 4, 2026, 7:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d164f5e2988190a47a3de97e5c74b8 |
completed | April 4, 2026, 7:22 p.m. |
Created at: March 30, 2026, 8:04 p.m.