Triple
T14046658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dropbox |
E337972
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Bob Jenkins
Bob Jenkins is a professional associated with the cloud storage company Dropbox.
|
E1076125
|
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: Bob Jenkins | Statement: [Dropbox, hasMember, Bob Jenkins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bob Jenkins Context triple: [Dropbox, hasMember, Bob Jenkins]
-
A.
Carl Jenkins
Carl Jenkins is a psychic military intelligence officer in the Starship Troopers universe, known for his role in the Terran Federation’s war against the Arachnids.
-
B.
Gene Jenkins
Gene Jenkins is a fictional character appearing in the television series "The Continental: From the World of John Wick," which explores the criminal underworld linked to the John Wick film franchise.
-
C.
Tom Jeffords
Tom Jeffords was a 19th-century American frontiersman and Indian agent best known for establishing peaceful relations with the Apache leader Cochise in the Arizona Territory.
-
D.
Bill Nunn
Bill Nunn was an American character actor best known for his memorable supporting roles in films like "Do the Right Thing" and the "Spider-Man" trilogy.
-
E.
Chip Hardesty
Chip Hardesty is the fictional FBI agent protagonist of the 1959 film "The FBI Story," whose career dramatizes the Bureau’s history and major cases.
- 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: Bob Jenkins Triple: [Dropbox, hasMember, Bob Jenkins]
Generated description
Bob Jenkins is a professional associated with the cloud storage company Dropbox.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bob Jenkins Target entity description: Bob Jenkins is a professional associated with the cloud storage company Dropbox.
-
A.
Carl Jenkins
Carl Jenkins is a psychic military intelligence officer in the Starship Troopers universe, known for his role in the Terran Federation’s war against the Arachnids.
-
B.
Gene Jenkins
Gene Jenkins is a fictional character appearing in the television series "The Continental: From the World of John Wick," which explores the criminal underworld linked to the John Wick film franchise.
-
C.
Tom Jeffords
Tom Jeffords was a 19th-century American frontiersman and Indian agent best known for establishing peaceful relations with the Apache leader Cochise in the Arizona Territory.
-
D.
Bill Nunn
Bill Nunn was an American character actor best known for his memorable supporting roles in films like "Do the Right Thing" and the "Spider-Man" trilogy.
-
E.
Chip Hardesty
Chip Hardesty is the fictional FBI agent protagonist of the 1959 film "The FBI Story," whose career dramatizes the Bureau’s history and major cases.
- 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_69d81c664e48819088cbd8f433aeffe5 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de312df37081909f45ce3e219af5dc |
completed | April 14, 2026, 12:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc34332448190b044f55f0f85d5e2 |
completed | May 6, 2026, 10:40 p.m. |
| NEDg | Description generation | batch_69fc43623d608190bee3ebd08ffa01e6 |
completed | May 7, 2026, 7:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fc43e71f708190903a63388b664ba5 |
completed | May 7, 2026, 7:48 a.m. |
Created at: April 9, 2026, 10:20 p.m.