Triple
T16435149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Kennedy |
E399162
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Joan McCarthy
Joan McCarthy is best known as the wife of Academy Award–winning American actor George Kennedy.
|
E1306870
|
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: Joan McCarthy | Statement: [George Kennedy, spouse, Joan McCarthy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joan McCarthy Context triple: [George Kennedy, spouse, Joan McCarthy]
-
A.
Joan McGee
Joan McGee is an actress known for appearing in the 1990s British television series "Career Girls."
-
B.
Joan Hackett
Joan Hackett was an American actress known for her acclaimed work in film, television, and theater during the 1960s and 1970s, often portraying complex, intelligent female characters.
-
C.
Joan Towne
Joan Towne was a 17th-century New England woman known primarily as the mother of Sarah Towne Cloyce, one of the women accused during the Salem witch trials.
-
D.
Joan Hotchkis
Joan Hotchkis was an American actress and writer known for her work in film, television, and theater during the mid-20th century.
-
E.
Joan Foster
Joan Foster is the complex, identity-shifting protagonist of Margaret Atwood’s novel "Lady Oracle," known for her secret life as a gothic romance writer and her struggle to escape her past.
- 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: Joan McCarthy Triple: [George Kennedy, spouse, Joan McCarthy]
Generated description
Joan McCarthy is best known as the wife of Academy Award–winning American actor George Kennedy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Joan McCarthy Target entity description: Joan McCarthy is best known as the wife of Academy Award–winning American actor George Kennedy.
-
A.
Joan McGee
Joan McGee is an actress known for appearing in the 1990s British television series "Career Girls."
-
B.
Joan Hackett
Joan Hackett was an American actress known for her acclaimed work in film, television, and theater during the 1960s and 1970s, often portraying complex, intelligent female characters.
-
C.
Joan Towne
Joan Towne was a 17th-century New England woman known primarily as the mother of Sarah Towne Cloyce, one of the women accused during the Salem witch trials.
-
D.
Joan Hotchkis
Joan Hotchkis was an American actress and writer known for her work in film, television, and theater during the mid-20th century.
-
E.
Joan Foster
Joan Foster is the complex, identity-shifting protagonist of Margaret Atwood’s novel "Lady Oracle," known for her secret life as a gothic romance writer and her struggle to escape her past.
- 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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32ba1023481909588aa6a3c677886 |
completed | April 18, 2026, 6:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a037c1f2ac48190be5990748207819a |
completed | May 12, 2026, 7:14 p.m. |
| NEDg | Description generation | batch_6a037e34ca8c81909bdaa64d3777ffb7 |
completed | May 12, 2026, 7:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a037ea9aa208190b82e32b47d04a417 |
completed | May 12, 2026, 7:25 p.m. |
Created at: April 10, 2026, 5:10 a.m.