Triple
T5317208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philip Larkin |
E121580
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Jill
Jill is a novel by English poet and writer Philip Larkin, often noted for its portrayal of wartime Oxford and themes of isolation and imagination.
|
E510481
|
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: Jill | Statement: [Philip Larkin, notableWork, Jill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jill Context triple: [Philip Larkin, notableWork, Jill]
-
A.
Jill
Jill is the NATO reporting name for the Japanese Nakajima B6N Tenzan, a World War II carrier-based torpedo bomber used by the Imperial Japanese Navy.
-
B.
Jillian
Jillian is a feminine given name, commonly considered a variant of Gillian and used in English-speaking countries.
-
C.
Jenny
Jenny is a caring and protective regal blue tang fish who is Dory’s mother in the animated film "Finding Dory."
-
D.
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.
-
E.
Jenny
Jenny is a character from the traditional Scottish song "Comin' Thro' the Rye," often depicted as a carefree young woman associated with themes of love and rural life.
- 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: Jill Triple: [Philip Larkin, notableWork, Jill]
Generated description
Jill is a novel by English poet and writer Philip Larkin, often noted for its portrayal of wartime Oxford and themes of isolation and imagination.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jill Target entity description: Jill is a novel by English poet and writer Philip Larkin, often noted for its portrayal of wartime Oxford and themes of isolation and imagination.
-
A.
Jill
Jill is the NATO reporting name for the Japanese Nakajima B6N Tenzan, a World War II carrier-based torpedo bomber used by the Imperial Japanese Navy.
-
B.
Jillian
Jillian is a feminine given name, commonly considered a variant of Gillian and used in English-speaking countries.
-
C.
Jenny
Jenny is a caring and protective regal blue tang fish who is Dory’s mother in the animated film "Finding Dory."
-
D.
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.
-
E.
Jenny
Jenny is a character from the traditional Scottish song "Comin' Thro' the Rye," often depicted as a carefree young woman associated with themes of love and rural life.
- 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_69bd463d956c819088105c3db802c017 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd854fd07c8190b4f1c3c8e618c308 |
completed | March 20, 2026, 5:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf1111f104819094d7646dec32fad2 |
completed | March 21, 2026, 9:43 p.m. |
| NEDg | Description generation | batch_69bf11a601c481908a8cb6ea2c04d6df |
completed | March 21, 2026, 9:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf127799208190a47580ed7b9ad550 |
completed | March 21, 2026, 9:49 p.m. |
Created at: March 20, 2026, 1:59 p.m.