Triple
T14678759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jill Gascoine |
E344717
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Addicted (novel)
Addicted is a novel by British actress and author Jill Gascoine, known for its exploration of complex emotional relationships and personal struggle.
|
E1113397
|
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: Addicted (novel) | Statement: [Jill Gascoine, notableWork, Addicted (novel)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Addicted (novel) Context triple: [Jill Gascoine, notableWork, Addicted (novel)]
-
A.
La Adicción
La Adicción is the passionate and famously intense supporter group of the Mexican football club C.F. Monterrey.
-
B.
The Addict
"The Addict" is a confessional poem by Anne Sexton that starkly explores dependency, self-destruction, and psychological turmoil.
-
C.
Addicted
Addicted is a 2014 erotic thriller film about a successful businesswoman whose secret sex addiction threatens her seemingly perfect life and family.
-
D.
Addicted
"Addicted" is a popular dancehall track by Jamaican artist Popcaan, known for its melodic style and themes of love and desire.
-
E.
Addicted
"Addicted" is a pop-punk song by Canadian band Simple Plan, known for its catchy melody and lyrics about obsessive, unrequited love.
- 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: Addicted (novel) Triple: [Jill Gascoine, notableWork, Addicted (novel)]
Generated description
Addicted is a novel by British actress and author Jill Gascoine, known for its exploration of complex emotional relationships and personal struggle.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Addicted (novel) Target entity description: Addicted is a novel by British actress and author Jill Gascoine, known for its exploration of complex emotional relationships and personal struggle.
-
A.
La Adicción
La Adicción is the passionate and famously intense supporter group of the Mexican football club C.F. Monterrey.
-
B.
The Addict
"The Addict" is a confessional poem by Anne Sexton that starkly explores dependency, self-destruction, and psychological turmoil.
-
C.
Addicted
Addicted is a 2014 erotic thriller film about a successful businesswoman whose secret sex addiction threatens her seemingly perfect life and family.
-
D.
Addicted
"Addicted" is a popular dancehall track by Jamaican artist Popcaan, known for its melodic style and themes of love and desire.
-
E.
Addicted
"Addicted" is a pop-punk song by Canadian band Simple Plan, known for its catchy melody and lyrics about obsessive, unrequited love.
- 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_69d822e34b348190ada4d1cdb6c7c226 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb567c2b88190a9639e61b6fba7df |
completed | April 14, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fde17e5a1c8190b1bf5565eab9d519 |
completed | May 8, 2026, 1:13 p.m. |
| NEDg | Description generation | batch_69fde54010148190b2bb3fcb58032522 |
completed | May 8, 2026, 1:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fde6291df88190a5414a82e719e47d |
completed | May 8, 2026, 1:33 p.m. |
Created at: April 10, 2026, 1:27 a.m.