Triple
T1722497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aetna |
E37421
|
entity |
| Predicate | tickerSymbol |
P1447
|
FINISHED |
| Object |
AET
AET is the former stock ticker symbol for Aetna Inc., a major U.S. health insurance and managed care company.
|
E194006
|
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: AET | Statement: [Aetna, tickerSymbol, AET]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AET Context triple: [Aetna, tickerSymbol, AET]
-
A.
AEC
AEC was the common abbreviation for the United States Atomic Energy Commission, the federal agency that oversaw nuclear energy development and regulation in the mid-20th century.
-
B.
AEC
AEC is a European network and advocacy organization representing higher music education institutions such as conservatoires, academies, and music universities.
-
C.
AEC
AEC is a regional economic integration initiative among ASEAN member states aimed at creating a single market and production base to enhance competitiveness and economic growth in Southeast Asia.
-
D.
AAR
AAR is the American Association of Railroads' wheel arrangement classification system commonly used to describe locomotive axle configurations in North America.
-
E.
EET
EET is a time zone used in parts of Eastern Europe and the Eastern Mediterranean, typically two hours ahead of Coordinated Universal Time (UTC+2).
- 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: AET Triple: [Aetna, tickerSymbol, AET]
Generated description
AET is the former stock ticker symbol for Aetna Inc., a major U.S. health insurance and managed care company.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: AET Target entity description: AET is the former stock ticker symbol for Aetna Inc., a major U.S. health insurance and managed care company.
-
A.
AEC
AEC was the common abbreviation for the United States Atomic Energy Commission, the federal agency that oversaw nuclear energy development and regulation in the mid-20th century.
-
B.
AEC
AEC is a European network and advocacy organization representing higher music education institutions such as conservatoires, academies, and music universities.
-
C.
AEC
AEC is a regional economic integration initiative among ASEAN member states aimed at creating a single market and production base to enhance competitiveness and economic growth in Southeast Asia.
-
D.
AAR
AAR is the American Association of Railroads' wheel arrangement classification system commonly used to describe locomotive axle configurations in North America.
-
E.
EET
EET is a time zone used in parts of Eastern Europe and the Eastern Mediterranean, typically two hours ahead of Coordinated Universal Time (UTC+2).
- 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_69a8861acab88190bb43cde203429399 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa635703dc8190809260de43b72ea3 |
completed | March 6, 2026, 5:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad8aeca12881908efad5991bb0f12b |
completed | March 8, 2026, 2:42 p.m. |
| NEDg | Description generation | batch_69ad957bd63c819099a508ca5c4102cc |
completed | March 8, 2026, 3:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad97b18f9c8190a9c5ed80b5ed0195 |
completed | March 8, 2026, 3:37 p.m. |
Created at: March 4, 2026, 7:30 p.m.