Triple
T9567818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duggan |
E230832
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Colleen Duggan
Colleen Duggan is a notable individual recognized for achievements associated with the surname Duggan.
|
E807646
|
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: Colleen Duggan | Statement: [Duggan, hasNotableBearer, Colleen Duggan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Colleen Duggan Context triple: [Duggan, hasNotableBearer, Colleen Duggan]
-
A.
Bridget Moynahan
Bridget Moynahan is an American actress and model best known for her roles in films like "Coyote Ugly" and "I, Robot" and the TV series "Blue Bloods."
-
B.
Meg Hourihan
Meg Hourihan is an American software developer and entrepreneur best known as the co-founder of Pyra Labs, the company that created the pioneering blogging platform Blogger.
-
C.
Christine Collins
Christine Collins was a real-life Los Angeles mother whose 1928 fight against police corruption and search for her missing son became the basis for the film "Changeling."
-
D.
Louise O’Malley
Louise O’Malley is a relative of George O’Malley, a character from the television series "Grey’s Anatomy."
-
E.
Ginger Meehan
Ginger Meehan was the wife of renowned American lyricist and songwriter Johnny Mercer.
- 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: Colleen Duggan Triple: [Duggan, hasNotableBearer, Colleen Duggan]
Generated description
Colleen Duggan is a notable individual recognized for achievements associated with the surname Duggan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Colleen Duggan Target entity description: Colleen Duggan is a notable individual recognized for achievements associated with the surname Duggan.
-
A.
Bridget Moynahan
Bridget Moynahan is an American actress and model best known for her roles in films like "Coyote Ugly" and "I, Robot" and the TV series "Blue Bloods."
-
B.
Meg Hourihan
Meg Hourihan is an American software developer and entrepreneur best known as the co-founder of Pyra Labs, the company that created the pioneering blogging platform Blogger.
-
C.
Christine Collins
Christine Collins was a real-life Los Angeles mother whose 1928 fight against police corruption and search for her missing son became the basis for the film "Changeling."
-
D.
Louise O’Malley
Louise O’Malley is a relative of George O’Malley, a character from the television series "Grey’s Anatomy."
-
E.
Ginger Meehan
Ginger Meehan was the wife of renowned American lyricist and songwriter Johnny Mercer.
- 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.