Triple
T7394077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Intuit |
E170576
|
entity |
| Predicate | tickerSymbol |
P1447
|
FINISHED |
| Object |
INTU
INTU is the stock ticker symbol for Intuit Inc., a U.S.-based financial software company best known for products like TurboTax, QuickBooks, and Credit Karma.
|
E662031
|
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: INTU | Statement: [Intuit, tickerSymbol, INTU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: INTU Context triple: [Intuit, tickerSymbol, INTU]
-
A.
Intu Properties
Intu Properties was a major British real estate investment trust specializing in owning and managing large shopping centres across the United Kingdom.
-
B.
ITG Brands
ITG Brands is a major U.S. tobacco company known for manufacturing and marketing a portfolio of cigarette and cigar brands that compete with other leading tobacco firms.
-
C.
Stanwell
Stanwell is a village in the borough of Spelthorne in Surrey, England, located near Heathrow Airport on the western edge of Greater London.
-
D.
Capco
Capco is a global management and technology consultancy specializing in the financial services industry.
-
E.
Insitu
Insitu is an American company specializing in the design and manufacture of unmanned aerial systems, particularly for military and commercial surveillance and reconnaissance applications.
- 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: INTU Triple: [Intuit, tickerSymbol, INTU]
Generated description
INTU is the stock ticker symbol for Intuit Inc., a U.S.-based financial software company best known for products like TurboTax, QuickBooks, and Credit Karma.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: INTU Target entity description: INTU is the stock ticker symbol for Intuit Inc., a U.S.-based financial software company best known for products like TurboTax, QuickBooks, and Credit Karma.
-
A.
Intu Properties
Intu Properties was a major British real estate investment trust specializing in owning and managing large shopping centres across the United Kingdom.
-
B.
ITG Brands
ITG Brands is a major U.S. tobacco company known for manufacturing and marketing a portfolio of cigarette and cigar brands that compete with other leading tobacco firms.
-
C.
Stanwell
Stanwell is a village in the borough of Spelthorne in Surrey, England, located near Heathrow Airport on the western edge of Greater London.
-
D.
Capco
Capco is a global management and technology consultancy specializing in the financial services industry.
-
E.
Insitu
Insitu is an American company specializing in the design and manufacture of unmanned aerial systems, particularly for military and commercial surveillance and reconnaissance applications.
- 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_69c68a5f04188190ac266569c9280347 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f2263b48819089319a2a2f0d3357 |
completed | March 27, 2026, 9:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c810f82ba08190919924b0994a2eee |
completed | March 28, 2026, 5:33 p.m. |
| NEDg | Description generation | batch_69c811f1fe3c8190a591186b19044b5f |
completed | March 28, 2026, 5:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c812c1e9d08190b0e7f052d87011b9 |
completed | March 28, 2026, 5:41 p.m. |
Created at: March 27, 2026, 3:09 p.m.