Triple
T2355752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jennifer |
E47548
|
entity |
| Predicate | shortForm |
P43
|
FINISHED |
| Object |
Jenni
Jenni is a feminine given name commonly used as a diminutive or variant of Jennifer.
|
E257219
|
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: Jenni | Statement: [Jennifer, shortForm, Jenni]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jenni Context triple: [Jennifer, shortForm, Jenni]
-
A.
Miranda Hart
Miranda Hart is an English comedian, actress, and writer best known for her self-titled sitcom "Miranda" and her distinctive physical and observational comedy.
-
B.
Lucy Punch
Lucy Punch is an English actress known for her comedic and character roles in film and television, including appearances in projects like "Hot Fuzz," "Bad Teacher," and various British and American TV series.
-
C.
Jenny
"Jenny" is a narrative poem by Dante Gabriel Rossetti that explores themes of desire, morality, and Victorian attitudes toward prostitution through a reflective monologue addressed to a fallen woman.
-
D.
Jenny
Jenny is a caring and protective regal blue tang fish who is Dory’s mother in the animated film "Finding Dory."
-
E.
Daniel Millar
Daniel Millar is an actor known for his role in the National Theatre’s acclaimed stage production of "Frankenstein."
- 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: Jenni Triple: [Jennifer, shortForm, Jenni]
Generated description
Jenni is a feminine given name commonly used as a diminutive or variant of Jennifer.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jenni Target entity description: Jenni is a feminine given name commonly used as a diminutive or variant of Jennifer.
-
A.
Miranda Hart
Miranda Hart is an English comedian, actress, and writer best known for her self-titled sitcom "Miranda" and her distinctive physical and observational comedy.
-
B.
Lucy Punch
Lucy Punch is an English actress known for her comedic and character roles in film and television, including appearances in projects like "Hot Fuzz," "Bad Teacher," and various British and American TV series.
-
C.
Jenny
"Jenny" is a narrative poem by Dante Gabriel Rossetti that explores themes of desire, morality, and Victorian attitudes toward prostitution through a reflective monologue addressed to a fallen woman.
-
D.
Jenny
Jenny is a caring and protective regal blue tang fish who is Dory’s mother in the animated film "Finding Dory."
-
E.
Daniel Millar
Daniel Millar is an actor known for his role in the National Theatre’s acclaimed stage production of "Frankenstein."
- 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_69a88a1b678c8190bce986922ba60ce0 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abc6fd4e488190b763a1c9b5d18f2c |
completed | March 7, 2026, 6:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae963660108190b58f3288a5b3f96e |
completed | March 9, 2026, 9:43 a.m. |
| NEDg | Description generation | batch_69ae96b4b378819094853d3503a3b8b4 |
completed | March 9, 2026, 9:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae970a87a4819094e33d3b6347a9b5 |
completed | March 9, 2026, 9:46 a.m. |
Created at: March 4, 2026, 7:54 p.m.