Triple
T14284966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bjarke Ingels |
E354145
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Ingels
Ingels is the surname of Danish architect Bjarke Ingels, known for his innovative and sustainable architectural designs.
|
E1090687
|
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: Ingels | Statement: [Bjarke Ingels, familyName, Ingels]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ingels Context triple: [Bjarke Ingels, familyName, Ingels]
-
A.
Fishlegs Ingerman
Fishlegs Ingerman is a timid yet knowledgeable Viking from the How to Train Your Dragon franchise, known for his encyclopedic understanding of dragons and loyal friendship to Hiccup.
-
B.
Mathewson
Mathewson is the surname most famously associated with Christy Mathewson, one of early baseball’s greatest pitchers and a Hall of Famer.
-
C.
Eckstein
Eckstein is a German-origin surname borne by various notable individuals across fields such as sports, academia, and the arts.
-
D.
Allen Heim
Allen Heim is an American film editor known for his work on numerous acclaimed movies and television projects.
-
E.
Zerbe
Zerbe is a surname of German origin borne by various notable individuals, including American actor Anthony Zerbe.
- 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: Ingels Triple: [Bjarke Ingels, familyName, Ingels]
Generated description
Ingels is the surname of Danish architect Bjarke Ingels, known for his innovative and sustainable architectural designs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ingels Target entity description: Ingels is the surname of Danish architect Bjarke Ingels, known for his innovative and sustainable architectural designs.
-
A.
Fishlegs Ingerman
Fishlegs Ingerman is a timid yet knowledgeable Viking from the How to Train Your Dragon franchise, known for his encyclopedic understanding of dragons and loyal friendship to Hiccup.
-
B.
Mathewson
Mathewson is the surname most famously associated with Christy Mathewson, one of early baseball’s greatest pitchers and a Hall of Famer.
-
C.
Eckstein
Eckstein is a German-origin surname borne by various notable individuals across fields such as sports, academia, and the arts.
-
D.
Allen Heim
Allen Heim is an American film editor known for his work on numerous acclaimed movies and television projects.
-
E.
Zerbe
Zerbe is a surname of German origin borne by various notable individuals, including American actor Anthony Zerbe.
- 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_69d8278d25148190abf1a8c8f5f533ad |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de697ef40c8190bea37724b28c2e99 |
completed | April 14, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3d1a6d8081908e857143c0c809c0 |
completed | May 8, 2026, 1:32 a.m. |
| NEDg | Description generation | batch_69fd3da6f0648190876dd86dd51e72cc |
completed | May 8, 2026, 1:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd3e30868481908b55b368ab45c7fb |
completed | May 8, 2026, 1:36 a.m. |
Created at: April 10, 2026, 1:10 a.m.