Triple
T16365466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | B. Everett Jordan |
E397425
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Benjamin
Benjamin is the first name of B. Everett Jordan, a mid-20th-century U.S. Senator from North Carolina.
|
E1208521
|
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: Benjamin | Statement: [B. Everett Jordan, givenName, Benjamin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Benjamin Context triple: [B. Everett Jordan, givenName, Benjamin]
-
A.
Benjamin
Benjamin is the naive, dream-filled protagonist of Mendele Mocher Sforim’s satirical Yiddish novel "The Travels of Benjamin the Third," often likened to a Jewish Don Quixote.
-
B.
Benjamin
Benjamin is the full given name of the English playwright and poet Ben Jonson, a major literary figure of the early 17th century.
-
C.
Benjamin
Benjamin is the given first name of the American film producer and studio executive B. P. Schulberg.
-
D.
Benjamin
Benjamin is the given name of Benjamin Breckinridge Warfield, a prominent American Presbyterian theologian and professor at Princeton Theological Seminary in the late 19th and early 20th centuries.
-
E.
Benjamin
Benjamin is the first name of American actor, comedian, and filmmaker Ben Falcone, known for his frequent collaborations with Melissa McCarthy.
- 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: Benjamin Triple: [B. Everett Jordan, givenName, Benjamin]
Generated description
Benjamin is the first name of B. Everett Jordan, a mid-20th-century U.S. Senator from North Carolina.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Benjamin Target entity description: Benjamin is the first name of B. Everett Jordan, a mid-20th-century U.S. Senator from North Carolina.
-
A.
Benjamin
Benjamin is the given name of Benjamin Breckinridge Warfield, a prominent American Presbyterian theologian and professor at Princeton Theological Seminary in the late 19th and early 20th centuries.
-
B.
Benjamin
Benjamin is the birth name of American comedian, actor, and radio and television star Jack Benny.
-
C.
Benjamin
Benjamin is the given name of Benjamin "Bugsy" Siegel, the notorious American mobster who played a key role in the development of Las Vegas.
-
D.
Benjamin
Benjamin is the given first name of the American film producer and studio executive B. P. Schulberg.
-
E.
Benjamin
Benjamin is the given first name of Australian actor Ben Mendelsohn, known for his versatile roles in film and television.
- 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_69d87f2778dc8190aa95c7572db127e6 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2ff3c915c81909e1757fc31921876 |
completed | April 18, 2026, 3:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a002dc0b3d4819089e6fba536ec8a11 |
completed | May 10, 2026, 7:03 a.m. |
| NEDg | Description generation | batch_6a002f35af8081908ea9c3d0a991c396 |
completed | May 10, 2026, 7:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a002fa14ee4819080b02b368c0080b9 |
completed | May 10, 2026, 7:11 a.m. |
Created at: April 10, 2026, 5:08 a.m.