Triple
T8851594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Countess Vaughn |
E210649
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Joseph James
Joseph James is best known as the former husband of American actress and singer Countess Vaughn.
|
E763553
|
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: Joseph James | Statement: [Countess Vaughn, spouse, Joseph James]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joseph James Context triple: [Countess Vaughn, spouse, Joseph James]
-
A.
Larry James
Larry James was an American sprinter best known for winning gold and silver medals in the 400 meters and 4×400-meter relay at the 1968 Mexico City Olympics.
-
B.
Billy James
Billy James is a musician best known for composing the soundtrack to the 1971 road movie "Two-Lane Blacktop."
-
C.
Jose James
Jose James is an American vocalist and songwriter known for blending jazz, soul, hip-hop, and R&B into a contemporary, genre-crossing sound.
-
D.
Blake James
Blake James is an American college athletics administrator best known for serving as the athletic director at major universities, including the University of Miami and later Boston College.
-
E.
Will James
Will James is an American musician best known as an early bassist for the rock band Papa Roach before their rise to mainstream success.
- 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: Joseph James Triple: [Countess Vaughn, spouse, Joseph James]
Generated description
Joseph James is best known as the former husband of American actress and singer Countess Vaughn.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Joseph James Target entity description: Joseph James is best known as the former husband of American actress and singer Countess Vaughn.
-
A.
Larry James
Larry James was an American sprinter best known for winning gold and silver medals in the 400 meters and 4×400-meter relay at the 1968 Mexico City Olympics.
-
B.
Billy James
Billy James is a musician best known for composing the soundtrack to the 1971 road movie "Two-Lane Blacktop."
-
C.
Jose James
Jose James is an American vocalist and songwriter known for blending jazz, soul, hip-hop, and R&B into a contemporary, genre-crossing sound.
-
D.
Blake James
Blake James is an American college athletics administrator best known for serving as the athletic director at major universities, including the University of Miami and later Boston College.
-
E.
Will James
Will James is an American musician best known as an early bassist for the rock band Papa Roach before their rise to mainstream success.
- 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_69ca838a424c8190b1ecac115c2927e7 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc60c3c5548190926e374bbe592180 |
completed | April 1, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfa08315fc8190b901adfc76348e18 |
completed | April 3, 2026, 11:12 a.m. |
| NEDg | Description generation | batch_69cfa2a53044819099aa7bb401cd4ba6 |
completed | April 3, 2026, 11:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfa3a03b7c819085fa31d853c79392 |
completed | April 3, 2026, 11:25 a.m. |
Created at: March 30, 2026, 6:49 p.m.