Triple
T580056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Katharine Hepburn |
E15036
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Katharine
Katharine is a feminine given name most famously associated with the iconic American actress Katharine Hepburn.
|
E62170
|
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: Katharine | Statement: [Katharine Hepburn, givenName, Katharine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Katharine Context triple: [Katharine Hepburn, givenName, Katharine]
-
A.
Kathryn
Kathryn is a feminine given name, commonly considered a variant spelling of Katherine/Catherine.
-
B.
Kathleen
Kathleen is a feminine given name of Irish origin, derived from the name Catherine and widely used in English-speaking countries.
-
C.
Margaret
Margaret is a feminine given name of Greek origin, traditionally associated with the meaning "pearl" and widely used in English-speaking countries.
-
D.
Katherine Hudson
Katherine Hudson was the wife of English explorer Henry Hudson, known primarily through historical records of his voyages and family.
-
E.
Elizabeth Erving
Elizabeth Erving was the wife of American statesman and Massachusetts governor James Bowdoin, connecting her to a prominent colonial New England political family.
- 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: Katharine Triple: [Katharine Hepburn, givenName, Katharine]
Generated description
Katharine is a feminine given name most famously associated with the iconic American actress Katharine Hepburn.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Katharine Target entity description: Katharine is a feminine given name most famously associated with the iconic American actress Katharine Hepburn.
-
A.
Kathryn
chosen
Kathryn is a feminine given name, commonly considered a variant spelling of Katherine/Catherine.
-
B.
Kathleen
Kathleen is a feminine given name of Irish origin, derived from the name Catherine and widely used in English-speaking countries.
-
C.
Margaret
Margaret is a feminine given name of Greek origin, traditionally associated with the meaning "pearl" and widely used in English-speaking countries.
-
D.
Katherine Hudson
Katherine Hudson was the wife of English explorer Henry Hudson, known primarily through historical records of his voyages and family.
-
E.
Elizabeth Erving
Elizabeth Erving was the wife of American statesman and Massachusetts governor James Bowdoin, connecting her to a prominent colonial New England political family.
- F. None of above.
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_69a4935783b8819082b77726ec10cc42 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49b82b5248190ac863407e8207a3b |
completed | March 1, 2026, 8:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a64a48e53081908e5d5e093edb5e75 |
completed | March 3, 2026, 2:41 a.m. |
| NEDg | Description generation | batch_69a64ad340348190bec2454d5e1c0fa9 |
completed | March 3, 2026, 2:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a64b4e9cec8190a3dcc378f853be0d |
completed | March 3, 2026, 2:45 a.m. |
Created at: March 1, 2026, 7:33 p.m.