Triple
T11892552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matt Mahoney |
E282952
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object |
Mahoney
Mahoney is a surname of Irish origin borne by various notable individuals across fields such as politics, sports, and entertainment.
|
E953523
|
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: Mahoney | Statement: [Matt Mahoney, hasFamilyName, Mahoney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mahoney Context triple: [Matt Mahoney, hasFamilyName, Mahoney]
-
A.
Maloney
Maloney is a surname most notably associated with American actress Dorothy Malone, known for her roles in classic Hollywood films and television.
-
B.
Kinnear
Kinnear is an English surname most notably associated with the British actor Rory Kinnear and his theatrical family.
-
C.
Braugher
Braugher is the surname of Andre Braugher, an acclaimed American actor known for his roles in "Homicide: Life on the Street" and "Brooklyn Nine-Nine."
-
D.
Bel Mooney
Bel Mooney is a British journalist, author, and advice columnist known for her work in newspapers and on radio.
-
E.
Mahony
Mahony is the surname of Marion Mahony Griffin, a pioneering American architect and one of the first licensed female architects in the world.
- 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: Mahoney Triple: [Matt Mahoney, hasFamilyName, Mahoney]
Generated description
Mahoney is a surname of Irish origin borne by various notable individuals across fields such as politics, sports, and entertainment.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mahoney Target entity description: Mahoney is a surname of Irish origin borne by various notable individuals across fields such as politics, sports, and entertainment.
-
A.
Maloney
Maloney is a surname most notably associated with American actress Dorothy Malone, known for her roles in classic Hollywood films and television.
-
B.
Kinnear
Kinnear is an English surname most notably associated with the British actor Rory Kinnear and his theatrical family.
-
C.
Braugher
Braugher is the surname of Andre Braugher, an acclaimed American actor known for his roles in "Homicide: Life on the Street" and "Brooklyn Nine-Nine."
-
D.
Bel Mooney
Bel Mooney is a British journalist, author, and advice columnist known for her work in newspapers and on radio.
-
E.
Mahony
Mahony is the surname of Marion Mahony Griffin, a pioneering American architect and one of the first licensed female architects in the world.
- 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_69d6ab2a90b08190a4e818821cc93e6d |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8dd1172988190a2c13d37220f2f93 |
completed | April 10, 2026, 11:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4180569ac81909137d56374e800c0 |
completed | May 1, 2026, 3:03 a.m. |
| NEDg | Description generation | batch_69f41f1abaa481908b8a6873a07af848 |
completed | May 1, 2026, 3:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f422778a10819093bc2473ef30fe71 |
completed | May 1, 2026, 3:48 a.m. |
Created at: April 8, 2026, 9:44 p.m.