Triple
T4663252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tarzan and the Lost City |
E102783
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
Bayard Johnson
Bayard Johnson is a screenwriter best known for co-writing the 1998 adventure film "Tarzan and the Lost City."
|
E461764
|
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: Bayard Johnson | Statement: [Tarzan and the Lost City, screenwriter, Bayard Johnson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bayard Johnson Context triple: [Tarzan and the Lost City, screenwriter, Bayard Johnson]
-
A.
Kim Boggs
Kim Boggs is the compassionate teenage girl who becomes Edward’s love interest and moral anchor in the fantasy film "Edward Scissorhands."
-
B.
Warren Cowgill
Warren Cowgill was an influential American historical linguist known for his work on Indo-European linguistics and his advocacy of the Italo-Celtic hypothesis.
-
C.
Jim Barnes
Jim Barnes was an early 20th-century professional golfer known as one of the sport’s pioneering major champions.
-
D.
Ross Nordeen
Ross Nordeen is a professional associated with xAI, Elon Musk’s artificial intelligence company.
-
E.
Buddy Buie
Buddy Buie was an American songwriter and producer best known for crafting numerous hits in the 1960s and 1970s, particularly with the Atlanta Rhythm Section and Classics IV.
- 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: Bayard Johnson Triple: [Tarzan and the Lost City, screenwriter, Bayard Johnson]
Generated description
Bayard Johnson is a screenwriter best known for co-writing the 1998 adventure film "Tarzan and the Lost City."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bayard Johnson Target entity description: Bayard Johnson is a screenwriter best known for co-writing the 1998 adventure film "Tarzan and the Lost City."
-
A.
Kim Boggs
Kim Boggs is the compassionate teenage girl who becomes Edward’s love interest and moral anchor in the fantasy film "Edward Scissorhands."
-
B.
Warren Cowgill
Warren Cowgill was an influential American historical linguist known for his work on Indo-European linguistics and his advocacy of the Italo-Celtic hypothesis.
-
C.
Jim Barnes
Jim Barnes was an early 20th-century professional golfer known as one of the sport’s pioneering major champions.
-
D.
Ross Nordeen
Ross Nordeen is a professional associated with xAI, Elon Musk’s artificial intelligence company.
-
E.
Buddy Buie
Buddy Buie was an American songwriter and producer best known for crafting numerous hits in the 1960s and 1970s, particularly with the Atlanta Rhythm Section and Classics IV.
- 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_69bd43d9cba4819086c1ab1c2d9d2133 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd632d6150819085bab97021c0235a |
completed | March 20, 2026, 3:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be037c67108190bdae034832dc7b41 |
completed | March 21, 2026, 2:33 a.m. |
| NEDg | Description generation | batch_69be0440e7c881908743b7af9b2fa347 |
completed | March 21, 2026, 2:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be04e0f1b08190b3e617150e34648c |
completed | March 21, 2026, 2:39 a.m. |
Created at: March 20, 2026, 1:15 p.m.