Triple
T2590920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maura Healey |
E58118
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Healey
Healey is a surname of Irish origin borne by various notable individuals in politics, sports, and the arts.
|
E279330
|
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: Healey | Statement: [Maura Healey, familyName, Healey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Healey Context triple: [Maura Healey, familyName, Healey]
-
A.
Hollis
Hollis is the surname of American hip-hop producer and rapper Hit-Boy, known for crafting chart-topping tracks for major artists across the genre.
-
B.
Hollis
Hollis is a residential neighborhood in the southeastern part of the New York City borough of Queens.
-
C.
Hayden
Hayden is a surname most notably associated with American actor and author Sterling Hayden, known for his roles in classic mid-20th-century films.
-
D.
Leland
Leland is a masculine given name of English origin, historically associated with figures such as American industrialist and Stanford University founder Leland Stanford.
-
E.
Hayes
Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
- 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: Healey Triple: [Maura Healey, familyName, Healey]
Generated description
Healey is a surname of Irish origin borne by various notable individuals in politics, sports, and the arts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Healey Target entity description: Healey is a surname of Irish origin borne by various notable individuals in politics, sports, and the arts.
-
A.
Hollis
Hollis is the surname of American hip-hop producer and rapper Hit-Boy, known for crafting chart-topping tracks for major artists across the genre.
-
B.
Hollis
Hollis is a residential neighborhood in the southeastern part of the New York City borough of Queens.
-
C.
Hayden
Hayden is a surname most notably associated with American actor and author Sterling Hayden, known for his roles in classic mid-20th-century films.
-
D.
Leland
Leland is a masculine given name of English origin, historically associated with figures such as American industrialist and Stanford University founder Leland Stanford.
-
E.
Hayes
Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
- 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_69ab4ac019c8819094add11c46706e32 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd40075f08190b760cb41c1417169 |
completed | March 7, 2026, 7:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af6589a9c48190b16b5b7959096aab |
completed | March 10, 2026, 12:27 a.m. |
| NEDg | Description generation | batch_69af6828591081909ccf92fb38549944 |
completed | March 10, 2026, 12:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af689f7c4c8190a26270c57da71146 |
completed | March 10, 2026, 12:41 a.m. |
Created at: March 6, 2026, 9:49 p.m.