Triple
T2674817
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kees Cook |
E56432
|
entity |
| Predicate | twitterHandle |
P2866
|
FINISHED |
| Object |
@kees_cook
@kees_cook is the Twitter handle of Kees Cook, a prominent Linux kernel and security engineer known for his work on hardening the Linux ecosystem.
|
E10881
|
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: @kees_cook | Statement: [Kees Cook, twitterHandle, @kees_cook]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: @kees_cook Context triple: [Kees Cook, twitterHandle, @kees_cook]
-
A.
Cook
Cook is a surname shared by various notable individuals, including members of singer-songwriter Alicia Keys' family.
-
B.
Cook
Cook is a character in Geoffrey Chaucer’s "The Canterbury Tales," depicted as a London tradesman known for his culinary skills and unsanitary kitchen practices.
-
C.
Kenscoff
Kenscoff is a mountainous town in Haiti known for its cool climate, agriculture, and proximity to the capital, Port-au-Prince.
-
D.
Koops
Koops is a timid Koopa Troopa character and party member from the video game "Paper Mario: The Thousand-Year Door."
-
E.
Kock
Kock is a town in eastern Poland known for being the site of the final major battle of the September 1939 campaign during World War II.
- 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: @kees_cook Triple: [Kees Cook, twitterHandle, @kees_cook]
Generated description
@kees_cook is the Twitter handle of Kees Cook, a prominent Linux kernel and security engineer known for his work on hardening the Linux ecosystem.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: @kees_cook Target entity description: @kees_cook is the Twitter handle of Kees Cook, a prominent Linux kernel and security engineer known for his work on hardening the Linux ecosystem.
-
A.
Cook
chosen
Cook is a surname shared by various notable individuals, including members of singer-songwriter Alicia Keys' family.
-
B.
Cook
Cook is a character in Geoffrey Chaucer’s "The Canterbury Tales," depicted as a London tradesman known for his culinary skills and unsanitary kitchen practices.
-
C.
Kenscoff
Kenscoff is a mountainous town in Haiti known for its cool climate, agriculture, and proximity to the capital, Port-au-Prince.
-
D.
Koops
Koops is a timid Koopa Troopa character and party member from the video game "Paper Mario: The Thousand-Year Door."
-
E.
Kock
Kock is a town in eastern Poland known for being the site of the final major battle of the September 1939 campaign during World War II.
- F. None of above.
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_69ab4a4b13fc81909dfdb3f23da46832 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd9b228cc819097f045b4a51d8e7c |
completed | March 7, 2026, 7:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afa0638a9c8190b48ca5aa56eb66ff |
completed | March 10, 2026, 4:38 a.m. |
| NEDg | Description generation | batch_69afa0e62fa08190bf278abfce54708d |
completed | March 10, 2026, 4:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afa1ca3b388190840e3b150468dc23 |
completed | March 10, 2026, 4:44 a.m. |
Created at: March 6, 2026, 9:54 p.m.