Triple
T12965830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BodyArmor |
E321259
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object |
Lance Collins
Lance Collins is an entrepreneur best known for creating the BodyArmor sports drink brand.
|
E1023586
|
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: Lance Collins | Statement: [BodyArmor, foundedBy, Lance Collins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lance Collins Context triple: [BodyArmor, foundedBy, Lance Collins]
-
A.
Steve Collins
Steve Collins is a fictional character appearing in the classic 1941 screwball comedy film "The Bride Came C.O.D."
-
B.
Lance Johnson
Lance Johnson is a film producer known for his work on the biographical comedy-drama "The Life and Death of Peter Sellers."
-
C.
Lance Sullivan
Lance Sullivan is a central character in the romantic comedy-drama film series "The Best Man," known as a successful professional athlete whose personal relationships and moral choices drive much of the story’s emotional conflict.
-
D.
Will Collins
Will Collins is a central character in the medical drama series "Emily Owens, M.D.," serving as Emily's close friend and fellow doctor with whom she shares a complicated romantic tension.
-
E.
Al Collins
Al Collins is a songwriter best known for co-writing the rock and roll standard "Slippin' and Slidin'."
- 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: Lance Collins Triple: [BodyArmor, foundedBy, Lance Collins]
Generated description
Lance Collins is an entrepreneur best known for creating the BodyArmor sports drink brand.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lance Collins Target entity description: Lance Collins is an entrepreneur best known for creating the BodyArmor sports drink brand.
-
A.
Steve Collins
Steve Collins is a fictional character appearing in the classic 1941 screwball comedy film "The Bride Came C.O.D."
-
B.
Lance Johnson
Lance Johnson is a film producer known for his work on the biographical comedy-drama "The Life and Death of Peter Sellers."
-
C.
Lance Sullivan
Lance Sullivan is a central character in the romantic comedy-drama film series "The Best Man," known as a successful professional athlete whose personal relationships and moral choices drive much of the story’s emotional conflict.
-
D.
Will Collins
Will Collins is a central character in the medical drama series "Emily Owens, M.D.," serving as Emily's close friend and fellow doctor with whom she shares a complicated romantic tension.
-
E.
Al Collins
Al Collins is a songwriter best known for co-writing the rock and roll standard "Slippin' and Slidin'."
- 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_69d80763bd6c819094437da5b20b01d2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e3f702481908f0f90f4f12d3f4d |
completed | April 10, 2026, 10:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eacea664819096940ba4d409d264 |
completed | May 3, 2026, 6:27 a.m. |
| NEDg | Description generation | batch_69f6ed924d8881908354359a506f532e |
completed | May 3, 2026, 6:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6ee0a9ea48190b6017676f34025c2 |
completed | May 3, 2026, 6:41 a.m. |
Created at: April 9, 2026, 8:28 p.m.