Triple
T1065581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jennifer Connelly |
E23202
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Connelly
Connelly is a surname most prominently associated with American actress Jennifer Connelly, known for her acclaimed film roles since the 1980s.
|
E123970
|
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: Connelly | Statement: [Jennifer Connelly, familyName, Connelly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Connelly Context triple: [Jennifer Connelly, familyName, Connelly]
-
A.
McCauley
McCauley is the maiden surname of Rosa Parks, the prominent American civil rights activist known for her pivotal role in the Montgomery bus boycott.
-
B.
Hayes
Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
-
C.
Callaghan
Callaghan is a surname of Irish origin borne by numerous notable individuals in politics, sports, and the arts.
-
D.
Cordell
Cordell is a masculine given name most notably borne by Cordell Hull, the long-serving U.S. Secretary of State and Nobel Peace Prize laureate.
-
E.
Dolan
Dolan is a surname most prominently associated with the American business family that controls Madison Square Garden Sports and Entertainment, including executive James L. Dolan.
- 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: Connelly Triple: [Jennifer Connelly, familyName, Connelly]
Generated description
Connelly is a surname most prominently associated with American actress Jennifer Connelly, known for her acclaimed film roles since the 1980s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Connelly Target entity description: Connelly is a surname most prominently associated with American actress Jennifer Connelly, known for her acclaimed film roles since the 1980s.
-
A.
McCauley
McCauley is the maiden surname of Rosa Parks, the prominent American civil rights activist known for her pivotal role in the Montgomery bus boycott.
-
B.
Hayes
Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
-
C.
Callaghan
Callaghan is a surname of Irish origin borne by numerous notable individuals in politics, sports, and the arts.
-
D.
Cordell
Cordell is a masculine given name most notably borne by Cordell Hull, the long-serving U.S. Secretary of State and Nobel Peace Prize laureate.
-
E.
Dolan
Dolan is a surname most prominently associated with the American business family that controls Madison Square Garden Sports and Entertainment, including executive James L. Dolan.
- 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_69a493ee1f908190992b5f0d1b04459b |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b90f91248190ace1534a51b82bdd |
completed | March 1, 2026, 10:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac42a336388190a6d18fda8a7a151d |
completed | March 7, 2026, 3:22 p.m. |
| NEDg | Description generation | batch_69ac43f306e48190b94f16749f5ba0d1 |
completed | March 7, 2026, 3:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac44467c9c8190a82ea8158add468a |
completed | March 7, 2026, 3:29 p.m. |
Created at: March 1, 2026, 7:42 p.m.