Triple
T3258214
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blue October |
E68346
|
entity |
| Predicate | formerMember |
P1168
|
FINISHED |
| Object |
Piper Skih
Piper Skih is a musician best known for having been a member of the American alternative rock band Blue October.
|
E343290
|
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: Piper Skih | Statement: [Blue October, formerMember, Piper Skih]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Piper Skih Context triple: [Blue October, formerMember, Piper Skih]
-
A.
Ziller
The Ziller is a river in the Austrian state of Tyrol that flows through the Zillertal valley before joining the Inn River.
-
B.
Sattler
Sattler is a German-origin surname borne by various notable individuals across fields such as politics, science, and the arts.
-
C.
Nunivak Cupik
Nunivak Cupik are an Alaska Native Yupik people indigenous to Nunivak Island, known for their distinct language, culture, and traditional subsistence lifestyle.
-
D.
Sixten Sason
Sixten Sason was a pioneering Swedish industrial designer best known for shaping Saab’s early automobiles and helping define the brand’s distinctive aerodynamic style.
-
E.
Buddy Jeannette
Buddy Jeannette was an American professional basketball guard and Hall of Famer known as one of the early stars and player-coaches of the pre-NBA era.
- 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: Piper Skih Triple: [Blue October, formerMember, Piper Skih]
Generated description
Piper Skih is a musician best known for having been a member of the American alternative rock band Blue October.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Piper Skih Target entity description: Piper Skih is a musician best known for having been a member of the American alternative rock band Blue October.
-
A.
Ziller
The Ziller is a river in the Austrian state of Tyrol that flows through the Zillertal valley before joining the Inn River.
-
B.
Sattler
Sattler is a German-origin surname borne by various notable individuals across fields such as politics, science, and the arts.
-
C.
Nunivak Cupik
Nunivak Cupik are an Alaska Native Yupik people indigenous to Nunivak Island, known for their distinct language, culture, and traditional subsistence lifestyle.
-
D.
Sixten Sason
Sixten Sason was a pioneering Swedish industrial designer best known for shaping Saab’s early automobiles and helping define the brand’s distinctive aerodynamic style.
-
E.
Buddy Jeannette
Buddy Jeannette was an American professional basketball guard and Hall of Famer known as one of the early stars and player-coaches of the pre-NBA era.
- 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_69ad858f74408190bcbd07f967cd7bd0 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaf6a46448190a7fa0ca83fa096f8 |
completed | March 8, 2026, 5:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b28ed3a7908190bfab434a64af5f2f |
completed | March 12, 2026, 10 a.m. |
| NEDg | Description generation | batch_69b2903dd0ac819088499f06edfeac56 |
completed | March 12, 2026, 10:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b2d6bf36988190b394766e9821047c |
completed | March 12, 2026, 3:07 p.m. |
Created at: March 8, 2026, 3:09 p.m.