Triple
T7099384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boone |
E165414
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Derek Boone
Derek Boone is an individual notable enough to be recognized as a namesake bearer of the surname Boone.
|
E645780
|
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: Derek Boone | Statement: [Boone, hasNotableBearer, Derek Boone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Derek Boone Context triple: [Boone, hasNotableBearer, Derek Boone]
-
A.
Darrell
Darrell is the central protagonist of the film "In the Mix," around whom the story’s main events and conflicts revolve.
-
B.
Dustin Henderson
Dustin Henderson is a witty, science-loving teenager from the Netflix series "Stranger Things," known for his loyalty, curiosity, and inventive problem-solving in the face of supernatural threats.
-
C.
Derek Bond
Derek Bond was a British actor known for his work in mid-20th-century film, television, and theatre.
-
D.
Derek Dixie
Derek Dixie is a music producer and arranger best known for his work with major artists like Beyoncé, contributing to acclaimed live performances and recordings.
-
E.
Darryl Harper
Darryl Harper is a music producer best known for his co-production work on Jay-Z’s hit single "99 Problems."
- 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: Derek Boone Triple: [Boone, hasNotableBearer, Derek Boone]
Generated description
Derek Boone is an individual notable enough to be recognized as a namesake bearer of the surname Boone.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Derek Boone Target entity description: Derek Boone is an individual notable enough to be recognized as a namesake bearer of the surname Boone.
-
A.
Darrell
Darrell is the central protagonist of the film "In the Mix," around whom the story’s main events and conflicts revolve.
-
B.
Dustin Henderson
Dustin Henderson is a witty, science-loving teenager from the Netflix series "Stranger Things," known for his loyalty, curiosity, and inventive problem-solving in the face of supernatural threats.
-
C.
Derek Bond
Derek Bond was a British actor known for his work in mid-20th-century film, television, and theatre.
-
D.
Derek Dixie
Derek Dixie is a music producer and arranger best known for his work with major artists like Beyoncé, contributing to acclaimed live performances and recordings.
-
E.
Darryl Harper
Darryl Harper is a music producer best known for his co-production work on Jay-Z’s hit single "99 Problems."
- 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_69c6887fcddc8190a5d58908f6dee590 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e58531c88190a32746f9a97da709 |
completed | March 27, 2026, 8:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7ad83aa288190b06262ac9898f5c1 |
completed | March 28, 2026, 10:29 a.m. |
| NEDg | Description generation | batch_69c7ae661f4481908ee489023af9603b |
completed | March 28, 2026, 10:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7aef767848190b7edf7a99e2e019d |
completed | March 28, 2026, 10:35 a.m. |
Created at: March 27, 2026, 2:42 p.m.