Triple
T2592603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Montreal Alouettes |
E58155
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
Als
Als is the common nickname for the Montreal Alouettes, a professional Canadian Football League team based in Montreal, Quebec.
|
E279400
|
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: Als | Statement: [Montreal Alouettes, shortName, Als]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Als Context triple: [Montreal Alouettes, shortName, Als]
-
A.
Ale
Ale is a common short form of the Italian given name Alessandro, often used as a casual or affectionate nickname.
-
B.
Al
Al is a common shortened form of given names such as Albert, Alan, or Alexander.
-
C.
Una
Una is a feminine given name of Latin origin meaning "one" or "unity," used in various cultures and literary works.
-
D.
Avar
Avar is a Northeast Caucasian language spoken primarily by the Avar people in Dagestan and neighboring regions of the North Caucasus.
-
E.
Arend
Arend was one of the ships in the early 18th-century Dutch expedition led by explorer Jacob Roggeveen, known for his discovery of Easter Island.
- 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: Als Triple: [Montreal Alouettes, shortName, Als]
Generated description
Als is the common nickname for the Montreal Alouettes, a professional Canadian Football League team based in Montreal, Quebec.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Als Target entity description: Als is the common nickname for the Montreal Alouettes, a professional Canadian Football League team based in Montreal, Quebec.
-
A.
Ale
Ale is a common short form of the Italian given name Alessandro, often used as a casual or affectionate nickname.
-
B.
Al
Al is a common shortened form of given names such as Albert, Alan, or Alexander.
-
C.
Una
Una is a feminine given name of Latin origin meaning "one" or "unity," used in various cultures and literary works.
-
D.
Avar
Avar is a Northeast Caucasian language spoken primarily by the Avar people in Dagestan and neighboring regions of the North Caucasus.
-
E.
Arend
Arend was one of the ships in the early 18th-century Dutch expedition led by explorer Jacob Roggeveen, known for his discovery of Easter Island.
- 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_69ab4ac019c8819094add11c46706e32 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd426e2d4819081a07920b4d2a1cc |
completed | March 7, 2026, 7:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af6589a9c48190b16b5b7959096aab |
completed | March 10, 2026, 12:27 a.m. |
| NEDg | Description generation | batch_69af6828591081909ccf92fb38549944 |
completed | March 10, 2026, 12:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af689f7c4c8190a26270c57da71146 |
completed | March 10, 2026, 12:41 a.m. |
Created at: March 6, 2026, 9:49 p.m.