Triple
T12493080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dolores Hope |
E298612
|
entity |
| Predicate | honorificTitle |
P2097
|
FINISHED |
| Object |
Dame of St. Gregory
Dame of St. Gregory is a papal honorific title bestowed by the Pope, typically recognizing distinguished service to the Catholic Church and society.
|
E985857
|
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: Dame of St. Gregory | Statement: [Dolores Hope, honorificTitle, Dame of St. Gregory]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dame of St. Gregory Context triple: [Dolores Hope, honorificTitle, Dame of St. Gregory]
-
A.
Our Lady
Our Lady is a traditional Christian title of reverence for the Virgin Mary, the mother of Jesus.
-
B.
Bernardine
Bernardine is a 1957 musical comedy film starring Pat Boone in one of his early leading screen roles.
-
C.
Cluny Brown
Cluny Brown is a 1946 romantic comedy film directed by Ernst Lubitsch, known for its witty social satire and the story of an unconventional young woman who challenges British class norms.
-
D.
Mother Abbess
Mother Abbess is the wise and compassionate head of the abbey who guides Maria in the classic musical film "The Sound of Music."
-
E.
Bridgitt
Bridgitt is a given name that functions as an alternative spelling of the name Bridgette.
- 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: Dame of St. Gregory Triple: [Dolores Hope, honorificTitle, Dame of St. Gregory]
Generated description
Dame of St. Gregory is a papal honorific title bestowed by the Pope, typically recognizing distinguished service to the Catholic Church and society.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dame of St. Gregory Target entity description: Dame of St. Gregory is a papal honorific title bestowed by the Pope, typically recognizing distinguished service to the Catholic Church and society.
-
A.
Our Lady
Our Lady is a traditional Christian title of reverence for the Virgin Mary, the mother of Jesus.
-
B.
Bernardine
Bernardine is a 1957 musical comedy film starring Pat Boone in one of his early leading screen roles.
-
C.
Cluny Brown
Cluny Brown is a 1946 romantic comedy film directed by Ernst Lubitsch, known for its witty social satire and the story of an unconventional young woman who challenges British class norms.
-
D.
Mother Abbess
Mother Abbess is the wise and compassionate head of the abbey who guides Maria in the classic musical film "The Sound of Music."
-
E.
Bridgitt
Bridgitt is a given name that functions as an alternative spelling of the name Bridgette.
- 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_69d6ada377208190a36011199a4d8558 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94de3076c81909640c982d520ca6b |
completed | April 10, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64bab99bc8190abe6dfb7c6a7fe6f |
completed | May 2, 2026, 7:08 p.m. |
| NEDg | Description generation | batch_69f64c276d388190b58fe884466076ee |
completed | May 2, 2026, 7:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f64ce7b444819094d94bec749d7618 |
completed | May 2, 2026, 7:13 p.m. |
Created at: April 8, 2026, 9:56 p.m.