Triple
T14055054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oveta Culp Hobby |
E338195
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Oveta
Oveta was an American politician and newspaper executive best known for leading the Women’s Army Corps during World War II and serving as the first U.S. Secretary of Health, Education, and Welfare.
|
E1078936
|
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: Oveta | Statement: [Oveta Culp Hobby, givenName, Oveta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oveta Context triple: [Oveta Culp Hobby, givenName, Oveta]
-
A.
Claretta
Claretta was the nickname of Claretta Petacci, the Italian mistress of dictator Benito Mussolini who was executed alongside him in 1945.
-
B.
Lorena
Lorena is a city in the state of São Paulo, Brazil, known for hosting a campus of the University of São Paulo.
-
C.
Althea
"Althea" is a beloved Grateful Dead song, known for its reflective lyrics, melodic guitar work, and enduring popularity in the band's live performances.
-
D.
Nona
Nona is one of the traditional bells of St Mark's Campanile in Venice, historically used to sound the ninth hour and mark time for the city.
-
E.
Nona
Nona is the Roman goddess of fate who presides over birth and is one of the three Parcae, equivalent to the Greek Fate Clotho.
- 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: Oveta Triple: [Oveta Culp Hobby, givenName, Oveta]
Generated description
Oveta was an American politician and newspaper executive best known for leading the Women’s Army Corps during World War II and serving as the first U.S. Secretary of Health, Education, and Welfare.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oveta Target entity description: Oveta was an American politician and newspaper executive best known for leading the Women’s Army Corps during World War II and serving as the first U.S. Secretary of Health, Education, and Welfare.
-
A.
Claretta
Claretta was the nickname of Claretta Petacci, the Italian mistress of dictator Benito Mussolini who was executed alongside him in 1945.
-
B.
Lorena
Lorena is a city in the state of São Paulo, Brazil, known for hosting a campus of the University of São Paulo.
-
C.
Althea
"Althea" is a beloved Grateful Dead song, known for its reflective lyrics, melodic guitar work, and enduring popularity in the band's live performances.
-
D.
Nona
Nona is one of the traditional bells of St Mark's Campanile in Venice, historically used to sound the ninth hour and mark time for the city.
-
E.
Nona
Nona is the Roman goddess of fate who presides over birth and is one of the three Parcae, equivalent to the Greek Fate Clotho.
- 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_69d81c67ba6c819091935650dfb3b895 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de3c8d1aa48190a5055d15d9fa220c |
completed | April 14, 2026, 1:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb6608cf8819087ed5d890b82650a |
completed | May 7, 2026, 3:57 p.m. |
| NEDg | Description generation | batch_69fcc91405888190ba808b2051f57f19 |
completed | May 7, 2026, 5:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fcc9be3f448190b2edd96c4159f923 |
completed | May 7, 2026, 5:19 p.m. |
Created at: April 9, 2026, 10:20 p.m.