Triple
T12449030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Private Parts |
E297480
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Alison Stern
Alison Stern is the real-life wife of radio personality Howard Stern, who appears as a character in his autobiographical film "Private Parts."
|
E1027192
|
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: Alison Stern | Statement: [Private Parts, character, Alison Stern]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alison Stern Context triple: [Private Parts, character, Alison Stern]
-
A.
Alison Schapker
Alison Schapker is an American television writer and producer known for her work on series such as Alias, Lost, Fringe, and The Flash.
-
B.
Alison Gold
Alison Gold is an American pop singer best known for her viral 2013 novelty song "Chinese Food," produced by Patrice Wilson.
-
C.
Alison Benson
Alison Benson is a television producer and executive known for her work overseeing series such as the comedy show "Camping."
-
D.
Alison Marr
Alison Marr is a mathematician known for her work in combinatorics and for her contributions to mathematics education and outreach.
-
E.
Alison Newman
Alison Newman is a British television writer and producer best known as the co-creator of the period drama series "Harlots."
- 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: Alison Stern Triple: [Private Parts, character, Alison Stern]
Generated description
Alison Stern is the real-life wife of radio personality Howard Stern, who appears as a character in his autobiographical film "Private Parts."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alison Stern Target entity description: Alison Stern is the real-life wife of radio personality Howard Stern, who appears as a character in his autobiographical film "Private Parts."
-
A.
Alison Schapker
Alison Schapker is an American television writer and producer known for her work on series such as Alias, Lost, Fringe, and The Flash.
-
B.
Alison Gold
Alison Gold is an American pop singer best known for her viral 2013 novelty song "Chinese Food," produced by Patrice Wilson.
-
C.
Alison Benson
Alison Benson is a television producer and executive known for her work overseeing series such as the comedy show "Camping."
-
D.
Alison Marr
Alison Marr is a mathematician known for her work in combinatorics and for her contributions to mathematics education and outreach.
-
E.
Alison Newman
Alison Newman is a British television writer and producer best known as the co-creator of the period drama series "Harlots."
- 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_69d6ada166c48190b902972cd2408fa3 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d9e592c81908cf7f3ca170d942c |
completed | April 10, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f5b5c138819098326891f86eab48 |
completed | May 3, 2026, 7:13 a.m. |
| NEDg | Description generation | batch_69f6f80b420c8190b5028be4fa99fb59 |
completed | May 3, 2026, 7:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6f89072a88190b3182f581b1b6762 |
completed | May 3, 2026, 7:26 a.m. |
Created at: April 8, 2026, 9:56 p.m.