Triple
T7022701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeffrey Katzenberg |
E162865
|
entity |
| Predicate | founded |
P104
|
FINISHED |
| Object |
WndrCo
WndrCo is a media and technology investment holding company co-founded by Hollywood executive Jeffrey Katzenberg, known for backing digital entertainment and consumer tech ventures.
|
E636737
|
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: WndrCo | Statement: [Jeffrey Katzenberg, founded, WndrCo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WndrCo Context triple: [Jeffrey Katzenberg, founded, WndrCo]
-
A.
WONDO
WONDO is a track by rapper 6ix9ine from his 2018 studio album "Dummy Boy," known for its aggressive style and trap-influenced production.
-
B.
WND
WND is the vehicle registration code assigned to the Leoncin area in Poland.
-
C.
Ventanas
Ventanas is a small city in Ecuador’s Los Ríos Province, known primarily for its agricultural surroundings and role as a local commercial center.
-
D.
The Window
"The Window" is a 1949 American film noir thriller about a young boy who witnesses a murder but struggles to convince adults that the crime really occurred.
-
E.
Wand
Wand is an American rock band known for its eclectic blend of psychedelic, garage, and experimental sounds, often released through the independent label Drag City.
- 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: WndrCo Triple: [Jeffrey Katzenberg, founded, WndrCo]
Generated description
WndrCo is a media and technology investment holding company co-founded by Hollywood executive Jeffrey Katzenberg, known for backing digital entertainment and consumer tech ventures.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: WndrCo Target entity description: WndrCo is a media and technology investment holding company co-founded by Hollywood executive Jeffrey Katzenberg, known for backing digital entertainment and consumer tech ventures.
-
A.
WONDO
WONDO is a track by rapper 6ix9ine from his 2018 studio album "Dummy Boy," known for its aggressive style and trap-influenced production.
-
B.
WND
WND is the vehicle registration code assigned to the Leoncin area in Poland.
-
C.
Ventanas
Ventanas is a small city in Ecuador’s Los Ríos Province, known primarily for its agricultural surroundings and role as a local commercial center.
-
D.
The Window
"The Window" is a 1949 American film noir thriller about a young boy who witnesses a murder but struggles to convince adults that the crime really occurred.
-
E.
Wand
Wand is an American rock band known for its eclectic blend of psychedelic, garage, and experimental sounds, often released through the independent label Drag City.
- 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_69c6885b26248190a857541e3d10e299 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e1edf3608190b7ba0bfb85710e97 |
completed | March 27, 2026, 8 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7757c87788190b09ced669b5c4d83 |
completed | March 28, 2026, 6:30 a.m. |
| NEDg | Description generation | batch_69c7777be0d08190b6be22c72d2da12e |
completed | March 28, 2026, 6:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c77851ace48190a2a4899181f3d14a |
completed | March 28, 2026, 6:42 a.m. |
Created at: March 27, 2026, 2:35 p.m.