Triple
T22949275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anna Scripps Whitcomb |
E569963
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Anna
Anna is the given name of Anna Scripps Whitcomb, an American philanthropist known for donating her extensive orchid collection to the Belle Isle Conservatory in Detroit.
|
E1563425
|
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: Anna | Statement: [Anna Scripps Whitcomb, givenName, Anna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anna Context triple: [Anna Scripps Whitcomb, givenName, Anna]
-
A.
Anna
Anna is the given name of pioneering Chinese American actress Anna May Wong, a trailblazing early Hollywood star and fashion icon.
-
B.
Anna
Anna is a spirited and optimistic princess from Disney's animated film "Frozen," known for her bravery, loyalty, and deep love for her sister Elsa.
-
C.
Anna
Anna is a biblical figure in the Book of Tobit, known as Tobit's wife and the mother of Tobias.
-
D.
Anna
Anna is a woman whose full name is Mrs. Anna Smith.
-
E.
Anna
Anna was a Byzantine imperial princess, known as the daughter of Empress Theodora.
- 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: Anna Triple: [Anna Scripps Whitcomb, givenName, Anna]
Generated description
Anna is the given name of Anna Scripps Whitcomb, an American philanthropist known for donating her extensive orchid collection to the Belle Isle Conservatory in Detroit.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anna Target entity description: Anna is the given name of Anna Scripps Whitcomb, an American philanthropist known for donating her extensive orchid collection to the Belle Isle Conservatory in Detroit.
-
A.
Anna
Anna is the given name of Anna Hyatt Huntington, a prominent American sculptor known for her animal sculptures and public monuments.
-
B.
Anna
Anna is the given name of Anna McNeill Whistler, best known as the mother and subject of James McNeill Whistler’s famous painting "Whistler’s Mother."
-
C.
Anna
Anna is the given first name of Eleanor Roosevelt, the influential former First Lady of the United States and human rights advocate.
-
D.
Anna
Anna is the given first name of Pauli Murray, the pioneering American civil rights activist, lawyer, and Episcopal priest.
-
E.
Anna
Anna is the given name of Anne Bancroft, the acclaimed American actress best known for her role as Mrs. Robinson in "The Graduate."
- 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_69e2459199d08190a8184ee2aa935842 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f181a085188190b06ffa227087302d |
completed | April 29, 2026, 3:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bca161ddc8190923967d024e894ba |
completed | May 19, 2026, 2:25 a.m. |
| NEDg | Description generation | batch_6a0bcaebed688190b2ea74c588922d98 |
completed | May 19, 2026, 2:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bcbec354081909dbeeb389e86d38c |
completed | May 19, 2026, 2:33 a.m. |
Created at: April 17, 2026, 3:46 p.m.