Triple
T2537655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert A. Caro |
E56305
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Master of the Senate
Master of the Senate is Robert A. Caro’s exhaustive, Pulitzer Prize–winning volume on Lyndon B. Johnson’s years as Senate majority leader, detailing his mastery of legislative power and political maneuvering.
|
E274262
|
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: Master of the Senate | Statement: [Robert A. Caro, hasPart, Master of the Senate]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Master of the Senate Context triple: [Robert A. Caro, hasPart, Master of the Senate]
-
A.
Mr. Vice President
Mr. Vice President is the formal spoken and written title used to address the sitting Vice 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 a formal style of address used for the President of Ecuador.
-
E.
Mr. President
"Mr. President" is the formal spoken address traditionally used for the sitting President of the United States.
- 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: Master of the Senate Triple: [Robert A. Caro, hasPart, Master of the Senate]
Generated description
Master of the Senate is Robert A. Caro’s exhaustive, Pulitzer Prize–winning volume on Lyndon B. Johnson’s years as Senate majority leader, detailing his mastery of legislative power and political maneuvering.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Master of the Senate Target entity description: Master of the Senate is Robert A. Caro’s exhaustive, Pulitzer Prize–winning volume on Lyndon B. Johnson’s years as Senate majority leader, detailing his mastery of legislative power and political maneuvering.
-
A.
Mr. Vice President
Mr. Vice President is the formal spoken and written title used to address the sitting Vice 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 a formal style of address used for the President of Ecuador.
-
E.
Mr. President
"Mr. President" is the formal spoken address traditionally used for the sitting President of the United States.
- 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_69ab4a49b6508190bc467fbef4bac334 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd298fc2481908b2925bf6a06532b |
completed | March 7, 2026, 7:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af2bc0d404819087bc15be297c3dbd |
completed | March 9, 2026, 8:21 p.m. |
| NEDg | Description generation | batch_69af4767891c81908aaab1e4cf4f49ef |
completed | March 9, 2026, 10:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69af47c5f02c819086390ccafa38f5e3 |
completed | March 9, 2026, 10:20 p.m. |
Created at: March 6, 2026, 9:47 p.m.