Triple
T23216603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martinus Nijhoff |
E580761
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Netty Wind
Netty Wind was the wife of Dutch poet and playwright Martinus Nijhoff, associated with the early 20th-century Dutch literary milieu.
|
E1573178
|
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: Netty Wind | Statement: [Martinus Nijhoff, spouse, Netty Wind]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Netty Wind Context triple: [Martinus Nijhoff, spouse, Netty Wind]
-
A.
Breeze
Breeze is a web conferencing and e-learning software platform originally developed by Macromedia for online presentations, training, and collaboration.
-
B.
Ill Wind
"Ill Wind" is a popular 1934 jazz standard composed by Harold Arlen with lyrics by Ted Koehler, known for its melancholic melody and enduring place in the Great American Songbook.
-
C.
May Wind
May Wind is a prominent public sculpture located in May Fourth Square in Qingdao, China, symbolizing the city’s coastal character and commemorating the May Fourth Movement.
-
D.
Siltbreeze
Siltbreeze is an independent record label known for releasing lo-fi, experimental, and underground rock music.
-
E.
Whirlwinds
Whirlwinds is a water slide attraction located within the Splash Works water park.
- 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: Netty Wind Triple: [Martinus Nijhoff, spouse, Netty Wind]
Generated description
Netty Wind was the wife of Dutch poet and playwright Martinus Nijhoff, associated with the early 20th-century Dutch literary milieu.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Netty Wind Target entity description: Netty Wind was the wife of Dutch poet and playwright Martinus Nijhoff, associated with the early 20th-century Dutch literary milieu.
-
A.
Breeze
Breeze is a web conferencing and e-learning software platform originally developed by Macromedia for online presentations, training, and collaboration.
-
B.
Ill Wind
"Ill Wind" is a popular 1934 jazz standard composed by Harold Arlen with lyrics by Ted Koehler, known for its melancholic melody and enduring place in the Great American Songbook.
-
C.
May Wind
May Wind is a prominent public sculpture located in May Fourth Square in Qingdao, China, symbolizing the city’s coastal character and commemorating the May Fourth Movement.
-
D.
Siltbreeze
Siltbreeze is an independent record label known for releasing lo-fi, experimental, and underground rock music.
-
E.
Whirlwinds
Whirlwinds is a water slide attraction located within the Splash Works water park.
- 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_69e2460389408190be74f41d217799a9 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f19165949c81908e4d66a8a2b0a25a |
completed | April 29, 2026, 5:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c30ca89508190847874ab3bc1e01f |
completed | May 19, 2026, 9:43 a.m. |
| NEDg | Description generation | batch_6a0c31f385a881908283a8b079c4128a |
completed | May 19, 2026, 9:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c32ece3148190a22881d69c42e948 |
completed | May 19, 2026, 9:52 a.m. |
Created at: April 17, 2026, 4:08 p.m.