Triple
T785149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Holyoke College |
E16584
|
entity |
| Predicate | mascot |
P52
|
FINISHED |
| Object |
The Lyons
The Lyons are the athletic teams and mascot representing Mount Holyoke College in intercollegiate sports.
|
E96277
|
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: The Lyons | Statement: [Mount Holyoke College, mascot, The Lyons]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Lyons Context triple: [Mount Holyoke College, mascot, The Lyons]
-
A.
Leatherhead
Leatherhead is a historic market town in the county of Surrey in South East England, situated on the River Mole and serving as a local commercial and commuter hub.
-
B.
Margeride
Margeride is a mountainous and sparsely populated region in south-central France known for its granite plateaus, forests, and traditional rural landscapes.
-
C.
Sauvestre
Sauvestre is a French surname most notably associated with architect Stephen Sauvestre, who contributed to the design of the Eiffel Tower.
-
D.
Sauvy
Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
-
E.
The Ville
The Ville is a colloquial nickname for the city of Somerville, Massachusetts, used especially by locals and in regional culture.
- 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: The Lyons Triple: [Mount Holyoke College, mascot, The Lyons]
Generated description
The Lyons are the athletic teams and mascot representing Mount Holyoke College in intercollegiate sports.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Lyons Target entity description: The Lyons are the athletic teams and mascot representing Mount Holyoke College in intercollegiate sports.
-
A.
Leatherhead
Leatherhead is a historic market town in the county of Surrey in South East England, situated on the River Mole and serving as a local commercial and commuter hub.
-
B.
Margeride
Margeride is a mountainous and sparsely populated region in south-central France known for its granite plateaus, forests, and traditional rural landscapes.
-
C.
Sauvestre
Sauvestre is a French surname most notably associated with architect Stephen Sauvestre, who contributed to the design of the Eiffel Tower.
-
D.
Sauvy
Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
-
E.
The Ville
The Ville is a colloquial nickname for the city of Somerville, Massachusetts, used especially by locals and in regional culture.
- 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_69a4936ad1fc81908f190208059ccf78 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a76b0d6c8190a09b1a0bd4a6eeec |
completed | March 1, 2026, 8:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a76d7c2d488190a0c1802eb7c7491d |
completed | March 3, 2026, 11:23 p.m. |
| NEDg | Description generation | batch_69a7883f3d98819082b01a9c57fe230c |
completed | March 4, 2026, 1:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a78875f424819090d6e927864d39e0 |
completed | March 4, 2026, 1:18 a.m. |
Created at: March 1, 2026, 7:38 p.m.