Triple
T6910139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | w1n5t0n |
E159908
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Yallow
Yallow is a surname associated with the individual known by the name or handle "w1n5t0n."
|
E628026
|
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: Yallow | Statement: [w1n5t0n, familyName, Yallow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yallow Context triple: [w1n5t0n, familyName, Yallow]
-
A.
Gelb
Gelb is a surname most prominently associated with Peter Gelb, the influential general manager of the Metropolitan Opera in New York City.
-
B.
Žut
Žut is a largely uninhabited, rugged Adriatic island in Croatia known for its coves, clear waters, and popularity among sailors and boaters.
-
C.
Yellow
"Yellow" is a breakthrough 2000 alternative rock song by British band Coldplay, known for its emotive lyrics, atmospheric guitar sound, and role in launching the group to international fame.
-
D.
Geel
Geel is a city in the Flemish region of Belgium, noted for its long-standing tradition of community-based psychiatric care.
-
E.
Orange
Orange is a major French multinational telecommunications company providing mobile, internet, and other digital services across numerous countries.
- 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: Yallow Triple: [w1n5t0n, familyName, Yallow]
Generated description
Yallow is a surname associated with the individual known by the name or handle "w1n5t0n."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yallow Target entity description: Yallow is a surname associated with the individual known by the name or handle "w1n5t0n."
-
A.
Gelb
Gelb is a surname most prominently associated with Peter Gelb, the influential general manager of the Metropolitan Opera in New York City.
-
B.
Žut
Žut is a largely uninhabited, rugged Adriatic island in Croatia known for its coves, clear waters, and popularity among sailors and boaters.
-
C.
Yellow
"Yellow" is a breakthrough 2000 alternative rock song by British band Coldplay, known for its emotive lyrics, atmospheric guitar sound, and role in launching the group to international fame.
-
D.
Geel
Geel is a city in the Flemish region of Belgium, noted for its long-standing tradition of community-based psychiatric care.
-
E.
Orange
Orange is a major French multinational telecommunications company providing mobile, internet, and other digital services across numerous countries.
- 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_69c68839ccb88190b4aa5cc1aca3448f |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6d9c00e948190b103a2b2a2738bb1 |
completed | March 27, 2026, 7:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c749076f6c819088b0b40dd3e208b0 |
completed | March 28, 2026, 3:20 a.m. |
| NEDg | Description generation | batch_69c74c274258819099913ac5610730ac |
completed | March 28, 2026, 3:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c74cca47b88190867550802db43ef0 |
completed | March 28, 2026, 3:36 a.m. |
Created at: March 27, 2026, 2:25 p.m.