Triple
T21920090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cage |
E541284
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object |
Tame One
Tame One was an American underground hip hop MC from New Jersey, best known as a member of the groups Artifacts and Leak Bros.
|
E1507283
|
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: Tame One | Statement: [Cage, associatedAct, Tame One]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tame One Context triple: [Cage, associatedAct, Tame One]
-
A.
Can't Be Tamed
"Can't Be Tamed" is a 2010 pop album by Miley Cyrus that marked her transition from teen idol to a more mature, provocative musical image.
-
B.
The Other One
The Other One is a French film featuring acclaimed actress Dominique Blanc in a psychologically intense leading role.
-
C.
The Other One
The Other One is a British television comedy series featuring Rebecca Front in a prominent role.
-
D.
Toinette
Toinette is the sharp-witted, outspoken maid in Molière’s comedy "Le Malade imaginaire," known for her clever schemes and satirical commentary on her hypochondriac master.
-
E.
Onsong
Onsong is a town and county in northeastern North Korea, located near the border with China along the Tumen River.
- 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: Tame One Triple: [Cage, associatedAct, Tame One]
Generated description
Tame One was an American underground hip hop MC from New Jersey, best known as a member of the groups Artifacts and Leak Bros.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tame One Target entity description: Tame One was an American underground hip hop MC from New Jersey, best known as a member of the groups Artifacts and Leak Bros.
-
A.
Can't Be Tamed
"Can't Be Tamed" is a 2010 pop album by Miley Cyrus that marked her transition from teen idol to a more mature, provocative musical image.
-
B.
The Other One
The Other One is a French film featuring acclaimed actress Dominique Blanc in a psychologically intense leading role.
-
C.
The Other One
The Other One is a British television comedy series featuring Rebecca Front in a prominent role.
-
D.
Toinette
Toinette is the sharp-witted, outspoken maid in Molière’s comedy "Le Malade imaginaire," known for her clever schemes and satirical commentary on her hypochondriac master.
-
E.
Onsong
Onsong is a town and county in northeastern North Korea, located near the border with China along the Tumen River.
- 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_69e0c47c4b9c8190a5586a75f5f36453 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1233af5a481908072c7c928e065ad |
completed | April 28, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a5a1679888190a344089520993127 |
completed | May 18, 2026, 12:15 a.m. |
| NEDg | Description generation | batch_6a0a5b0d434481909d2d011c2449bf69 |
completed | May 18, 2026, 12:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a5ba4fb5c8190994938f704603690 |
completed | May 18, 2026, 12:21 a.m. |
Created at: April 16, 2026, 7:44 p.m.