Triple
T7363364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morningstar, Inc. |
E169806
|
entity |
| Predicate | tickerSymbol |
P1447
|
FINISHED |
| Object |
MORN
MORN is the stock ticker symbol for Morningstar, Inc., a leading provider of independent investment research and financial data.
|
E659290
|
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: MORN | Statement: [Morningstar, Inc., tickerSymbol, MORN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MORN Context triple: [Morningstar, Inc., tickerSymbol, MORN]
-
A.
Mornant
Mornant is a commune in eastern France located in the Rhône department, known for its rural character and proximity to the Lyon metropolitan area.
-
B.
Morgen
Morgen is an early name form of Morgan le Fay, the powerful enchantress and half-sister of King Arthur in Arthurian legend.
-
C.
The Morning
"The Morning" is a moody, atmospheric R&B track by The Weeknd, known for its hazy production and themes of hedonism and disillusionment.
-
D.
The Morning
"The Morning" is a painting by 18th-century French artist Joseph Vernet, best known for his atmospheric seascapes and landscape scenes.
-
E.
Morgon
Morgon is a renowned Beaujolais cru in eastern France known for producing relatively structured, age-worthy red wines primarily from the Gamay grape.
- 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: MORN Triple: [Morningstar, Inc., tickerSymbol, MORN]
Generated description
MORN is the stock ticker symbol for Morningstar, Inc., a leading provider of independent investment research and financial data.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MORN Target entity description: MORN is the stock ticker symbol for Morningstar, Inc., a leading provider of independent investment research and financial data.
-
A.
Mornant
Mornant is a commune in eastern France located in the Rhône department, known for its rural character and proximity to the Lyon metropolitan area.
-
B.
Morgen
Morgen is an early name form of Morgan le Fay, the powerful enchantress and half-sister of King Arthur in Arthurian legend.
-
C.
The Morning
"The Morning" is a moody, atmospheric R&B track by The Weeknd, known for its hazy production and themes of hedonism and disillusionment.
-
D.
The Morning
"The Morning" is a painting by 18th-century French artist Joseph Vernet, best known for his atmospheric seascapes and landscape scenes.
-
E.
Morgon
Morgon is a renowned Beaujolais cru in eastern France known for producing relatively structured, age-worthy red wines primarily from the Gamay grape.
- 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_69c68a5ade988190885b7175f63b7534 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1603e1481909fb1dce2c9a7c577 |
completed | March 27, 2026, 9:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7fab704008190ad07e12ead1a13ed |
completed | March 28, 2026, 3:58 p.m. |
| NEDg | Description generation | batch_69c7fdc524c081909ba9f584b783eded |
completed | March 28, 2026, 4:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7fe4702348190acc48eaec934630a |
completed | March 28, 2026, 4:13 p.m. |
Created at: March 27, 2026, 3:06 p.m.