Triple
T8088172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edwards Lifesciences |
E188787
|
entity |
| Predicate | tickerSymbol |
P1447
|
FINISHED |
| Object |
EW
EW is the stock ticker symbol for Edwards Lifesciences, a medical technology company best known for its heart valves and critical care monitoring products.
|
E711309
|
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: EW | Statement: [Edwards Lifesciences, tickerSymbol, EW]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EW Context triple: [Edwards Lifesciences, tickerSymbol, EW]
-
A.
EW
EW is the common abbreviation for Entertainment Weekly, a popular American magazine and website covering movies, television, music, books, and pop culture.
-
B.
Ev
Ev is a short, informal diminutive of the given name Evan, often used as a casual nickname.
-
C.
Em
Em is a common shortened form of the given name Emma, often used as an informal nickname.
-
D.
EG
EG is the standard abbreviation for the Egmont Group, an international network of Financial Intelligence Units that collaborates to combat money laundering and terrorist financing.
-
E.
EG
EG is the standard abbreviation for the European Games, a continental multi-sport event for athletes from across Europe.
- 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: EW Triple: [Edwards Lifesciences, tickerSymbol, EW]
Generated description
EW is the stock ticker symbol for Edwards Lifesciences, a medical technology company best known for its heart valves and critical care monitoring products.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: EW Target entity description: EW is the stock ticker symbol for Edwards Lifesciences, a medical technology company best known for its heart valves and critical care monitoring products.
-
A.
EW
EW is the common abbreviation for Entertainment Weekly, a popular American magazine and website covering movies, television, music, books, and pop culture.
-
B.
Ev
Ev is a short, informal diminutive of the given name Evan, often used as a casual nickname.
-
C.
Em
Em is a common shortened form of the given name Emma, often used as an informal nickname.
-
D.
EG
EG is the standard abbreviation for the Egmont Group, an international network of Financial Intelligence Units that collaborates to combat money laundering and terrorist financing.
-
E.
EG
EG is the standard abbreviation for the European Games, a continental multi-sport event for athletes from across Europe.
- 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_69ca82b7b3e88190b9041ab0ef28b3cb |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb421c717c819089dd88c30a6401aa |
completed | March 31, 2026, 3:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc6406395c8190ad8db69c878ce9b8 |
completed | April 1, 2026, 12:17 a.m. |
| NEDg | Description generation | batch_69cc651e3b4c81908408c9f08eca8e09 |
completed | April 1, 2026, 12:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc694d861c8190b504352c1fad2c36 |
completed | April 1, 2026, 12:39 a.m. |
Created at: March 30, 2026, 5:29 p.m.