Triple
T2655503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Centenary College of Louisiana |
E54598
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Gents
Gents is the nickname for the men's athletic teams representing Centenary College of Louisiana.
|
E286052
|
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: Gents | Statement: [Centenary College of Louisiana, nickname, Gents]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gents Context triple: [Centenary College of Louisiana, nickname, Gents]
-
A.
Men
Men are the mortal human race of Middle-earth, known for their brief lifespans, diverse cultures, and pivotal role in the struggle against darkness in Tolkien’s legendarium.
-
B.
For Men Only
For Men Only is a 1952 American drama film about brutal college fraternity hazing, notable as one of the few movies directed by actor Paul Henreid.
-
C.
Male
Male is the capital and most populous city of the Maldives, located on the southern edge of North Malé Atoll in the Indian Ocean.
-
D.
Men and Women
"Men and Women" is a 19th-century stage play co-written by Beatrice DeMille that explores themes of morality, social status, and personal downfall.
-
E.
Men and Women
Men and Women is a celebrated 1855 poetry collection by Robert Browning, known for its dramatic monologues and psychological depth.
- 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: Gents Triple: [Centenary College of Louisiana, nickname, Gents]
Generated description
Gents is the nickname for the men's athletic teams representing Centenary College of Louisiana.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gents Target entity description: Gents is the nickname for the men's athletic teams representing Centenary College of Louisiana.
-
A.
Men
Men are the mortal human race of Middle-earth, known for their brief lifespans, diverse cultures, and pivotal role in the struggle against darkness in Tolkien’s legendarium.
-
B.
For Men Only
For Men Only is a 1952 American drama film about brutal college fraternity hazing, notable as one of the few movies directed by actor Paul Henreid.
-
C.
Male
Male is the capital and most populous city of the Maldives, located on the southern edge of North Malé Atoll in the Indian Ocean.
-
D.
Men and Women
"Men and Women" is a 19th-century stage play co-written by Beatrice DeMille that explores themes of morality, social status, and personal downfall.
-
E.
Men and Women
Men and Women is a celebrated 1855 poetry collection by Robert Browning, known for its dramatic monologues and psychological depth.
- 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_69ab49e028948190b97e01d73548b1d9 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd933ec008190aef1442460c4cfbc |
completed | March 7, 2026, 7:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af98d325ec819097d7f80a28343687 |
completed | March 10, 2026, 4:06 a.m. |
| NEDg | Description generation | batch_69af9942390081909fd17fa20386fed6 |
completed | March 10, 2026, 4:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af99af3c8c8190b1342dd4bd5866e2 |
completed | March 10, 2026, 4:10 a.m. |
Created at: March 6, 2026, 9:53 p.m.