Triple
T13479447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Corrine Mackey |
E318332
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Corrine
Corrine is a feminine given name commonly used in English-speaking countries.
|
E1042421
|
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: Corrine | Statement: [Corrine Mackey, givenName, Corrine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Corrine Context triple: [Corrine Mackey, givenName, Corrine]
-
A.
Cora Tull
Cora Tull is a deeply religious, judgmental neighbor in William Faulkner’s novel "As I Lay Dying," serving as a moral commentator on the Bundren family’s actions.
-
B.
Claretta
Claretta was the nickname of Claretta Petacci, the Italian mistress of dictator Benito Mussolini who was executed alongside him in 1945.
-
C.
Cora Raikes
Cora Raikes is a U.S. Navy petty officer and weapons specialist portrayed by Rihanna in the 2012 science fiction action film "Battleship."
-
D.
Annie Corley
Annie Corley is an American actress known for her supporting roles in films such as "The Bridges of Madison County" and various television series.
-
E.
Carleen
Carleen is a small village in Cornwall, England, situated within the rural parish of Breage.
- 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: Corrine Triple: [Corrine Mackey, givenName, Corrine]
Generated description
Corrine is a feminine given name commonly used in English-speaking countries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Corrine Target entity description: Corrine is a feminine given name commonly used in English-speaking countries.
-
A.
Cora Tull
Cora Tull is a deeply religious, judgmental neighbor in William Faulkner’s novel "As I Lay Dying," serving as a moral commentator on the Bundren family’s actions.
-
B.
Claretta
Claretta was the nickname of Claretta Petacci, the Italian mistress of dictator Benito Mussolini who was executed alongside him in 1945.
-
C.
Cora Raikes
Cora Raikes is a U.S. Navy petty officer and weapons specialist portrayed by Rihanna in the 2012 science fiction action film "Battleship."
-
D.
Annie Corley
Annie Corley is an American actress known for her supporting roles in films such as "The Bridges of Madison County" and various television series.
-
E.
Carleen
Carleen is a small village in Cornwall, England, situated within the rural parish of Breage.
- 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_69d806b6bfec819089222715b2e86c8e |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf266c508190930d30776c09ce35 |
completed | April 12, 2026, 2:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7463340fc8190b1128bd1d26f91ab |
completed | May 3, 2026, 12:57 p.m. |
| NEDg | Description generation | batch_69f747fee42c819097ccfaf01b1bf4da |
completed | May 3, 2026, 1:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f748bfc1a481908c3a86018533e45d |
completed | May 3, 2026, 1:08 p.m. |
Created at: April 9, 2026, 9:42 p.m.