Triple
T13819899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Order of the Eastern Star |
E332107
|
entity |
| Predicate | hasOffice |
P1268
|
FINISHED |
| Object |
Conductress
Conductress is an officer role within the Order of the Eastern Star responsible for assisting in ritual work and guiding candidates during ceremonies.
|
E1063223
|
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: Conductress | Statement: [Order of the Eastern Star, hasOffice, Conductress]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Conductress Context triple: [Order of the Eastern Star, hasOffice, Conductress]
-
A.
Leontyne
Leontyne is a feminine given name most notably associated with the celebrated American opera singer Leontyne Price.
-
B.
Conchata
Conchata is the given name of American character actress Conchata Ferrell, best known for her role as Berta on the television sitcom "Two and a Half Men."
-
C.
Madama
Madama is a Palestinian village located in the Nablus Governorate in the northern West Bank.
-
D.
Madam Chairman
"Madam Chairman" is a formal mode of address traditionally used for a woman presiding over a legislative or deliberative body, particularly in parliamentary or committee settings.
-
E.
Cecilia
"Cecilia" is a popular, upbeat folk-rock song by the American duo Simon & Garfunkel, known for its catchy rhythm and playful lyrics.
- 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: Conductress Triple: [Order of the Eastern Star, hasOffice, Conductress]
Generated description
Conductress is an officer role within the Order of the Eastern Star responsible for assisting in ritual work and guiding candidates during ceremonies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Conductress Target entity description: Conductress is an officer role within the Order of the Eastern Star responsible for assisting in ritual work and guiding candidates during ceremonies.
-
A.
Leontyne
Leontyne is a feminine given name most notably associated with the celebrated American opera singer Leontyne Price.
-
B.
Conchata
Conchata is the given name of American character actress Conchata Ferrell, best known for her role as Berta on the television sitcom "Two and a Half Men."
-
C.
Madama
Madama is a Palestinian village located in the Nablus Governorate in the northern West Bank.
-
D.
Madam Chairman
"Madam Chairman" is a formal mode of address traditionally used for a woman presiding over a legislative or deliberative body, particularly in parliamentary or committee settings.
-
E.
Cecilia
"Cecilia" is a popular, upbeat folk-rock song by the American duo Simon & Garfunkel, known for its catchy rhythm and playful lyrics.
- 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_69d81c59f8808190a851bc56afdc55e9 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0282d4d08190b754cda7683408c4 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8e41f448190baabfd06d78b45b7 |
completed | May 3, 2026, 9:06 p.m. |
| NEDg | Description generation | batch_69f7b9f9651081909bdbd509dd60c20e |
completed | May 3, 2026, 9:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7ba936c4481908757699ff22d3904 |
completed | May 3, 2026, 9:13 p.m. |
Created at: April 9, 2026, 10:12 p.m.