Triple
T13611106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chita Rivera |
E325187
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Mr. President
"Mr. President" is a 1962 Broadway musical comedy with music and lyrics by Irving Berlin that satirically portrays life in the White House.
|
E1051093
|
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: Mr. President | Statement: [Chita Rivera, notableWork, Mr. President]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mr. President Context triple: [Chita Rivera, notableWork, Mr. President]
-
A.
Mr. President
"Mr. President" is the formal spoken address traditionally used for the sitting President of the United States.
-
B.
Mr. President
Mr. President is the formal style of address used for the head of state of Bulgaria.
-
C.
Mr. President
"Mr. President" is the formal style of address used for the head of state of Austria.
-
D.
Mr. President
"Mr. President" is the formal style of address used for the presiding officer of the Chamber of Deputies.
-
E.
Mr. President
Mr. President is the formal style of address used for the head of state of Algeria.
- 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: Mr. President Triple: [Chita Rivera, notableWork, Mr. President]
Generated description
"Mr. President" is a 1962 Broadway musical comedy with music and lyrics by Irving Berlin that satirically portrays life in the White House.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mr. President Target entity description: "Mr. President" is a 1962 Broadway musical comedy with music and lyrics by Irving Berlin that satirically portrays life in the White House.
-
A.
Mr. President
"Mr. President" is the formal spoken address traditionally used for the sitting President of the United States.
-
B.
Mr. President
"Mr. President" is the formal style of address used for the presiding officer of the Massachusetts Senate.
-
C.
Mr. President
"Mr. President" is the formal style of address used for the head of state of the Russian Federation.
-
D.
Mr. President
"Mr. President" is the formal title used to address the presiding officer of the Florida Senate.
-
E.
Mr. President
"Mr. President" is the formal style of address used for the head of state of Austria.
- 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_69d8076aae28819092cf636190ee5529 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb0aa9a1481908c6f92495aff86c6 |
completed | April 12, 2026, 2:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77f9a9f9c81909b0a8f4f51c461ae |
completed | May 3, 2026, 5:02 p.m. |
| NEDg | Description generation | batch_69f78070e95c819088982e26fe2d8e26 |
completed | May 3, 2026, 5:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f78157b9cc8190a1855cb9715aa7d5 |
completed | May 3, 2026, 5:09 p.m. |
Created at: April 9, 2026, 9:50 p.m.