Triple
T3814567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kimbell Art Museum |
E84219
|
entity |
| Predicate | hasWorkBy |
P12366
|
FINISHED |
| Object |
Hals
Hals is a renowned Dutch Golden Age painter, best known for his lively and expressive portraiture.
|
E391765
|
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: Hals | Statement: [Kimbell Art Museum, hasWorkBy, Hals]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hals Context triple: [Kimbell Art Museum, hasWorkBy, Hals]
-
A.
Nose
Nose is a city in Osaka Prefecture, Japan, known for its rural landscapes, historic temples, and traditional countryside atmosphere.
-
B.
Haak
Haak was the original publisher of the first edition of the influential botanical work "Genera Plantarum."
-
C.
Hannut
Hannut is a municipality in the French-speaking Walloon Region of Belgium, known for its rural character and location between Liège and Brussels.
-
D.
Selänne
Selänne is the surname of Teemu Selänne, a legendary Finnish ice hockey player and one of the NHL’s most prolific goal scorers.
-
E.
Halhul
Halhul is a Palestinian town in the southern West Bank, north of Hebron, known for its elevated location in the Judean Mountains and its ancient historical and religious significance.
- 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: Hals Triple: [Kimbell Art Museum, hasWorkBy, Hals]
Generated description
Hals is a renowned Dutch Golden Age painter, best known for his lively and expressive portraiture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hals Target entity description: Hals is a renowned Dutch Golden Age painter, best known for his lively and expressive portraiture.
-
A.
Nose
Nose is a city in Osaka Prefecture, Japan, known for its rural landscapes, historic temples, and traditional countryside atmosphere.
-
B.
Haak
Haak was the original publisher of the first edition of the influential botanical work "Genera Plantarum."
-
C.
Hannut
Hannut is a municipality in the French-speaking Walloon Region of Belgium, known for its rural character and location between Liège and Brussels.
-
D.
Selänne
Selänne is the surname of Teemu Selänne, a legendary Finnish ice hockey player and one of the NHL’s most prolific goal scorers.
-
E.
Halhul
Halhul is a Palestinian town in the southern West Bank, north of Hebron, known for its elevated location in the Judean Mountains and its ancient historical and religious significance.
- 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_69aed931f5908190be2c07af66d4df25 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee8de9e948190bf461e55ad00eddb |
completed | March 9, 2026, 3:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4fb3ddc1481909fd4a8befb8ece17 |
completed | March 14, 2026, 6:07 a.m. |
| NEDg | Description generation | batch_69b4fbd93b1481909f89d807ef870aa7 |
completed | March 14, 2026, 6:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4ffc51bc08190aef4548a351b5604 |
completed | March 14, 2026, 6:27 a.m. |
Created at: March 9, 2026, 3:17 p.m.