Triple
T2716674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Drew Houston |
E59981
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Drew
Drew is an American entrepreneur best known as the co-founder and CEO of the cloud storage company Dropbox.
|
E292737
|
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: Drew | Statement: [Drew Houston, nickname, Drew]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Drew Context triple: [Drew Houston, nickname, Drew]
-
A.
Dustin
Dustin is a masculine given name commonly used in English-speaking countries.
-
B.
Drew Hansen
Drew Hansen is an American lawyer, author, and Democratic politician who has served in the Washington State Legislature.
-
C.
Dylan Clark
Dylan Clark is a film producer known for his work on major Hollywood projects including "The Mountain Between Us" and the "Planet of the Apes" reboot series.
-
D.
Drew Baylor
Drew Baylor is the fictional protagonist of the romantic comedy-drama film "Elizabethtown," a young shoe designer coping with personal and professional failure who finds new purpose through an unexpected relationship.
-
E.
Dylan Highsmith
Dylan Highsmith is a film editor best known for his work on major action and science-fiction movies, including Pacific Rim: Uprising.
- 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: Drew Triple: [Drew Houston, nickname, Drew]
Generated description
Drew is an American entrepreneur best known as the co-founder and CEO of the cloud storage company Dropbox.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Drew Target entity description: Drew is an American entrepreneur best known as the co-founder and CEO of the cloud storage company Dropbox.
-
A.
Dustin
Dustin is a masculine given name commonly used in English-speaking countries.
-
B.
Drew Hansen
Drew Hansen is an American lawyer, author, and Democratic politician who has served in the Washington State Legislature.
-
C.
Dylan Clark
Dylan Clark is a film producer known for his work on major Hollywood projects including "The Mountain Between Us" and the "Planet of the Apes" reboot series.
-
D.
Drew Baylor
Drew Baylor is the fictional protagonist of the romantic comedy-drama film "Elizabethtown," a young shoe designer coping with personal and professional failure who finds new purpose through an unexpected relationship.
-
E.
Dylan Highsmith
Dylan Highsmith is a film editor best known for his work on major action and science-fiction movies, including Pacific Rim: Uprising.
- 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_69ab4ac92a088190bc74bca14038e3de |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda964d4881908179b2a1b16411e4 |
completed | March 7, 2026, 7:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afb68c3ccc81909995d17651af27ed |
completed | March 10, 2026, 6:13 a.m. |
| NEDg | Description generation | batch_69afb77f60c08190928bd6a79fc82e8b |
completed | March 10, 2026, 6:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afb8205840819084ede24192bb0aa3 |
completed | March 10, 2026, 6:20 a.m. |
Created at: March 6, 2026, 9:55 p.m.