Triple
T5018538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Piper Kerman |
E112793
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Piper
Piper is a feminine given name best known today through its association with author Piper Kerman and her memoir "Orange Is the New Black."
|
E486652
|
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 | Statement: [Piper Kerman, givenName, Piper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Piper Context triple: [Piper Kerman, givenName, Piper]
-
A.
The Piper
"The Piper" is a song by Swedish pop group ABBA, featured as a darker, folk-influenced track on their 1980 album "Super Trouper."
-
B.
Wingo
Wingo is a Colombian low-cost airline operating domestic and international flights across Latin America and the Caribbean.
-
C.
Wyle
Wyle is the surname of American actor Noah Wyle, best known for his role as Dr. John Carter on the television series "ER."
-
D.
Pitts
Pitts is the surname of Helen Pitts Douglass, an American suffragist and abolitionist best known as the second wife of Frederick Douglass.
-
E.
Parker
Parker is a common English surname borne by numerous notable individuals across fields such as politics, sports, arts, and science.
- 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 Triple: [Piper Kerman, givenName, Piper]
Generated description
Piper is a feminine given name best known today through its association with author Piper Kerman and her memoir "Orange Is the New Black."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Piper Target entity description: Piper is a feminine given name best known today through its association with author Piper Kerman and her memoir "Orange Is the New Black."
-
A.
The Piper
"The Piper" is a song by Swedish pop group ABBA, featured as a darker, folk-influenced track on their 1980 album "Super Trouper."
-
B.
Wingo
Wingo is a Colombian low-cost airline operating domestic and international flights across Latin America and the Caribbean.
-
C.
Wyle
Wyle is the surname of American actor Noah Wyle, best known for his role as Dr. John Carter on the television series "ER."
-
D.
Pitts
Pitts is the surname of Helen Pitts Douglass, an American suffragist and abolitionist best known as the second wife of Frederick Douglass.
-
E.
Parker
Parker is a common English surname borne by numerous notable individuals across fields such as politics, sports, arts, and science.
- 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_69bd4435c2f48190be593158cbfcf8a3 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd73415e088190802f9bb283262386 |
completed | March 20, 2026, 4:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be927bdfa481908a5face7b4fd7058 |
completed | March 21, 2026, 12:43 p.m. |
| NEDg | Description generation | batch_69be93e00fc08190a0706dd7375020f5 |
completed | March 21, 2026, 12:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69be94a7e15481908f17feafb593b97b |
completed | March 21, 2026, 12:52 p.m. |
Created at: March 20, 2026, 1:35 p.m.