Triple
T21638134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Simple Wish |
E534013
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Oliver Greening
Oliver Greening is a character from the family fantasy film "A Simple Wish," appearing as part of the whimsical world surrounding a young girl and her fairy godfather.
|
E1493786
|
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: Oliver Greening | Statement: [A Simple Wish, character, Oliver Greening]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oliver Greening Context triple: [A Simple Wish, character, Oliver Greening]
-
A.
Oliver Brock
Oliver Brock is a translator known for his English translation of the work titled "Ripper."
-
B.
Oliver Hughes
Oliver Hughes is a person known primarily as the sibling of Francis Hughes, a member of the Provisional Irish Republican Army.
-
C.
Oliver Davies
Oliver Davies was an archaeologist known for leading the excavation of the prehistoric Beaghmore stone circles in Northern Ireland.
-
D.
Oliver Askew
Oliver Askew is a musician best known as a member of the English indie rock band The Young Knives.
-
E.
Christopher Greenbury
Christopher Greenbury was a British film editor best known for his Academy Award–winning work on the 1999 drama "American Beauty."
- 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: Oliver Greening Triple: [A Simple Wish, character, Oliver Greening]
Generated description
Oliver Greening is a character from the family fantasy film "A Simple Wish," appearing as part of the whimsical world surrounding a young girl and her fairy godfather.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oliver Greening Target entity description: Oliver Greening is a character from the family fantasy film "A Simple Wish," appearing as part of the whimsical world surrounding a young girl and her fairy godfather.
-
A.
Oliver Brock
Oliver Brock is a translator known for his English translation of the work titled "Ripper."
-
B.
Oliver Hughes
Oliver Hughes is a person known primarily as the sibling of Francis Hughes, a member of the Provisional Irish Republican Army.
-
C.
Oliver Davies
Oliver Davies was an archaeologist known for leading the excavation of the prehistoric Beaghmore stone circles in Northern Ireland.
-
D.
Oliver Askew
Oliver Askew is a musician best known as a member of the English indie rock band The Young Knives.
-
E.
Christopher Greenbury
Christopher Greenbury was a British film editor best known for his Academy Award–winning work on the 1999 drama "American Beauty."
- 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_69e0c465ae7481908577b7209fdb2a77 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef538eef0481908f5bf0e27f8e054d |
completed | April 27, 2026, 12:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a0f9de1fc8190bd44ba90877385c1 |
completed | May 17, 2026, 6:57 p.m. |
| NEDg | Description generation | batch_6a0a106d521481909aff885d50adbda1 |
completed | May 17, 2026, 7:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a10e6cda481908c263911f681c337 |
completed | May 17, 2026, 7:03 p.m. |
Created at: April 16, 2026, 6:35 p.m.