Triple
T5376744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U.C. Sampdoria |
E108978
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Samp
Samp is a common nickname for the Italian professional football club U.C. Sampdoria, based in Genoa and known for its blue, white, red, and black striped kit.
|
E514920
|
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: Samp | Statement: [U.C. Sampdoria, nickname, Samp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Samp Context triple: [U.C. Sampdoria, nickname, Samp]
-
A.
Sledge
Sledge is the surname of American rapper and songwriter Dreezy, whose full name is Seandrea Sledge.
-
B.
Scrambler
Scrambler is a classic spinning amusement ride located at the Worlds of Fun theme park in Kansas City, Missouri.
-
C.
Sauer
Sauer is a German surname borne by various notable individuals in fields such as science, politics, and the arts.
-
D.
Sanz
Sanz is a prominent Hasidic dynasty known for its strong emphasis on Torah scholarship, strict halachic observance, and influential rabbinic leadership originating in 19th-century Galicia.
-
E.
Toofer
Toofer is a pretentious, Harvard-educated writer on the fictional sketch show within the TV series "30 Rock."
- 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: Samp Triple: [U.C. Sampdoria, nickname, Samp]
Generated description
Samp is a common nickname for the Italian professional football club U.C. Sampdoria, based in Genoa and known for its blue, white, red, and black striped kit.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Samp Target entity description: Samp is a common nickname for the Italian professional football club U.C. Sampdoria, based in Genoa and known for its blue, white, red, and black striped kit.
-
A.
Sledge
Sledge is the surname of American rapper and songwriter Dreezy, whose full name is Seandrea Sledge.
-
B.
Scrambler
Scrambler is a classic spinning amusement ride located at the Worlds of Fun theme park in Kansas City, Missouri.
-
C.
Sauer
Sauer is a German surname borne by various notable individuals in fields such as science, politics, and the arts.
-
D.
Sanz
Sanz is a prominent Hasidic dynasty known for its strong emphasis on Torah scholarship, strict halachic observance, and influential rabbinic leadership originating in 19th-century Galicia.
-
E.
Toofer
Toofer is a pretentious, Harvard-educated writer on the fictional sketch show within the TV series "30 Rock."
- 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_69bd440c77948190aad2a5f39b7b80f5 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd86b08bf881909fa2e42c977d807a |
completed | March 20, 2026, 5:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf29428cec8190a20bea8fcae59d8f |
completed | March 21, 2026, 11:26 p.m. |
| NEDg | Description generation | batch_69bf29ba3e1c8190987f22566a9ec806 |
completed | March 21, 2026, 11:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf2a489ec88190bbeb628b4903607c |
completed | March 21, 2026, 11:31 p.m. |
Created at: March 20, 2026, 2:03 p.m.