Triple
T7940306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Emmett Brown |
E184371
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Verne Brown
Verne Brown is one of the time-traveling sons of Dr. Emmett Brown featured in the Back to the Future franchise.
|
E742748
|
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: Verne Brown | Statement: [Dr. Emmett Brown, child, Verne Brown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Verne Brown Context triple: [Dr. Emmett Brown, child, Verne Brown]
-
A.
Harlan Anderson
Harlan Anderson was an American engineer and entrepreneur best known as a co-founder of the pioneering minicomputer company Digital Equipment Corporation (DEC).
-
B.
Glen Whitmann
Glen Whitmann is a fast-talking computer hacker and conspiracy theorist character from the Transformers film series.
-
C.
Erle C. Kenton
Erle C. Kenton was an American film director best known for his work on early horror and comedy films during Hollywood’s studio era.
-
D.
J. Miles Dale
J. Miles Dale is a Canadian film and television producer best known for his Academy Award–winning work on Guillermo del Toro's fantasy romance film "The Shape of Water."
-
E.
Linwood Boomer
Linwood Boomer is a Canadian-American television writer, producer, and actor best known for creating the acclaimed sitcom "Malcolm in the Middle."
- 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: Verne Brown Triple: [Dr. Emmett Brown, child, Verne Brown]
Generated description
Verne Brown is one of the time-traveling sons of Dr. Emmett Brown featured in the Back to the Future franchise.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Verne Brown Target entity description: Verne Brown is one of the time-traveling sons of Dr. Emmett Brown featured in the Back to the Future franchise.
-
A.
Harlan Anderson
Harlan Anderson was an American engineer and entrepreneur best known as a co-founder of the pioneering minicomputer company Digital Equipment Corporation (DEC).
-
B.
Glen Whitmann
Glen Whitmann is a fast-talking computer hacker and conspiracy theorist character from the Transformers film series.
-
C.
Erle C. Kenton
Erle C. Kenton was an American film director best known for his work on early horror and comedy films during Hollywood’s studio era.
-
D.
J. Miles Dale
J. Miles Dale is a Canadian film and television producer best known for his Academy Award–winning work on Guillermo del Toro's fantasy romance film "The Shape of Water."
-
E.
Linwood Boomer
Linwood Boomer is a Canadian-American television writer, producer, and actor best known for creating the acclaimed sitcom "Malcolm in the Middle."
- 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_69ca8290c21c8190906a5ca6fe2b03c4 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b0ac8bc8190b4e4f79b15c316b3 |
completed | March 31, 2026, 3:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce8828faf48190927b2a6680f6b4d8 |
completed | April 2, 2026, 3:15 p.m. |
| NEDg | Description generation | batch_69ce8a442b508190bd8319fda51edc4b |
completed | April 2, 2026, 3:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce8afff50c8190b2dd1a7e0a5a130b |
completed | April 2, 2026, 3:28 p.m. |
Created at: March 30, 2026, 5:08 p.m.