Triple
T16651017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Night Train (EP) |
E404601
|
entity |
| Predicate | featuresArtist |
P1952
|
FINISHED |
| Object |
Tigarah
Tigarah is a Japanese rapper and singer known for her eclectic blend of hip hop, baile funk, and electronic music.
|
E1226297
|
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: Tigarah | Statement: [Night Train (EP), featuresArtist, Tigarah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tigarah Context triple: [Night Train (EP), featuresArtist, Tigarah]
-
A.
Tigerman
Tigerman is the surname of Stanley Tigerman, a notable American architect associated with postmodern design.
-
B.
Tig
Tig is a fictional character from the television series "Sons of Anarchy," known for his volatile personality and loyalty to the motorcycle club.
-
C.
Tig
Tig is a deity in Germanic mythology cognate with the Norse god Týr, associated with war, law, and heroic honor.
-
D.
Tigern
Tigern was a warship that took part in the early 17th-century naval Battle of Oliwa between the Polish–Lithuanian Commonwealth and Sweden.
-
E.
Barracuda
Barracuda is a tropical-style rum-based cocktail typically featuring pineapple and lime flavors, often served as a refreshing, fruity mixed drink.
- 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: Tigarah Triple: [Night Train (EP), featuresArtist, Tigarah]
Generated description
Tigarah is a Japanese rapper and singer known for her eclectic blend of hip hop, baile funk, and electronic music.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tigarah Target entity description: Tigarah is a Japanese rapper and singer known for her eclectic blend of hip hop, baile funk, and electronic music.
-
A.
Tigerman
Tigerman is the surname of Stanley Tigerman, a notable American architect associated with postmodern design.
-
B.
Tig
Tig is a fictional character from the television series "Sons of Anarchy," known for his volatile personality and loyalty to the motorcycle club.
-
C.
Tig
Tig is a deity in Germanic mythology cognate with the Norse god Týr, associated with war, law, and heroic honor.
-
D.
Tigern
Tigern was a warship that took part in the early 17th-century naval Battle of Oliwa between the Polish–Lithuanian Commonwealth and Sweden.
-
E.
Barracuda
Barracuda is a tropical-style rum-based cocktail typically featuring pineapple and lime flavors, often served as a refreshing, fruity mixed drink.
- 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_69d8838a41f08190b0c3f79c47df5078 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37bf6cfc481909b183348c407e046 |
completed | April 18, 2026, 12:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0084c2a8448190a9f05bc7e1ce7a05 |
completed | May 10, 2026, 1:14 p.m. |
| NEDg | Description generation | batch_6a008607434481909d41e7b8d6f9a4a3 |
completed | May 10, 2026, 1:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00868e55dc8190bfc7cd1b78ec4d6d |
completed | May 10, 2026, 1:22 p.m. |
Created at: April 10, 2026, 5:18 a.m.