Triple
T9134827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skechers |
E219174
|
entity |
| Predicate | tickerSymbol |
P1447
|
FINISHED |
| Object |
SKX
SKX is the stock ticker symbol for Skechers, a global footwear and apparel company traded on the New York Stock Exchange.
|
E780577
|
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: SKX | Statement: [Skechers, tickerSymbol, SKX]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SKX Context triple: [Skechers, tickerSymbol, SKX]
-
A.
SKW
SKW is Poland’s Military Counterintelligence Service, responsible for protecting the armed forces and state defense structures from espionage, terrorism, and other security threats.
-
B.
SKW
SKW is the ICAO airline designator used to identify SkyWest Airlines in aviation operations and communications.
-
C.
Smif-N-Wessun
Smif-N-Wessun is a Brooklyn-based hip hop duo, part of the Boot Camp Clik collective, known for their gritty 1990s East Coast sound and influential debut album "Dah Shinin'."
-
D.
Schenkl
Schenkl is a German-language surname most notably borne by Emilie Schenkl, the Austrian wife of Indian independence leader Subhas Chandra Bose.
-
E.
Sakai knives
Sakai knives are high-quality Japanese kitchen knives renowned for their traditional craftsmanship, sharpness, and use by professional chefs worldwide.
- 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: SKX Triple: [Skechers, tickerSymbol, SKX]
Generated description
SKX is the stock ticker symbol for Skechers, a global footwear and apparel company traded on the New York Stock Exchange.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SKX Target entity description: SKX is the stock ticker symbol for Skechers, a global footwear and apparel company traded on the New York Stock Exchange.
-
A.
SKW
SKW is Poland’s Military Counterintelligence Service, responsible for protecting the armed forces and state defense structures from espionage, terrorism, and other security threats.
-
B.
SKW
SKW is the ICAO airline designator used to identify SkyWest Airlines in aviation operations and communications.
-
C.
Smif-N-Wessun
Smif-N-Wessun is a Brooklyn-based hip hop duo, part of the Boot Camp Clik collective, known for their gritty 1990s East Coast sound and influential debut album "Dah Shinin'."
-
D.
Schenkl
Schenkl is a German-language surname most notably borne by Emilie Schenkl, the Austrian wife of Indian independence leader Subhas Chandra Bose.
-
E.
Sakai knives
Sakai knives are high-quality Japanese kitchen knives renowned for their traditional craftsmanship, sharpness, and use by professional chefs worldwide.
- 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_69ca83e012288190a5771058adbaabd2 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8de0dec8190978c80b9ec8bf25c |
completed | April 1, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d047efc5e48190bc8c4a7e865faef9 |
completed | April 3, 2026, 11:06 p.m. |
| NEDg | Description generation | batch_69d04935d4e88190acb4d65a2dc2bc8a |
completed | April 3, 2026, 11:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d049e6c4cc81909e08b5aaed9a88dc |
completed | April 3, 2026, 11:14 p.m. |
Created at: March 30, 2026, 7:18 p.m.