Triple
T18662410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Great Mouse Detective |
E456233
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
Peter Young
Peter Young is a screenwriter best known for his work on the animated mystery film "The Great Mouse Detective."
|
E1335817
|
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: Peter Young | Statement: [The Great Mouse Detective, screenwriter, Peter Young]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Young Context triple: [The Great Mouse Detective, screenwriter, Peter Young]
-
A.
Philip Young
Philip Young is a fictional wealthy Singaporean businessman and patriarch in Kevin Kwan’s "Crazy Rich Asians" series, known as the father of protagonist Nick Young.
-
B.
Joe Young
Joe Young was an American lyricist active in the early 20th century, known for writing popular songs during the Tin Pan Alley era.
-
C.
Joe Young
Joe Young is the giant but gentle gorilla who serves as the central creature and title character in the 1949 adventure film "Mighty Joe Young."
-
D.
David Young
David Young is a former Nixon administration aide best known for his role in the White House Plumbers unit involved in the Watergate scandal.
-
E.
David Young
David Young is an investigator associated with Ontario’s Special Investigations Unit, the civilian agency that probes serious incidents involving police.
- 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: Peter Young Triple: [The Great Mouse Detective, screenwriter, Peter Young]
Generated description
Peter Young is a screenwriter best known for his work on the animated mystery film "The Great Mouse Detective."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Peter Young Target entity description: Peter Young is a screenwriter best known for his work on the animated mystery film "The Great Mouse Detective."
-
A.
Philip Young
Philip Young is a fictional wealthy Singaporean businessman and patriarch in Kevin Kwan’s "Crazy Rich Asians" series, known as the father of protagonist Nick Young.
-
B.
Joe Young
Joe Young was an American lyricist active in the early 20th century, known for writing popular songs during the Tin Pan Alley era.
-
C.
Joe Young
Joe Young is the giant but gentle gorilla who serves as the central creature and title character in the 1949 adventure film "Mighty Joe Young."
-
D.
David Young
David Young is a former Nixon administration aide best known for his role in the White House Plumbers unit involved in the Watergate scandal.
-
E.
David Young
David Young is an investigator associated with Ontario’s Special Investigations Unit, the civilian agency that probes serious incidents involving police.
- 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_69d8d38f72b4819090a935175d9ca8af |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5508b35ec819085c1c4c2c98d6672 |
completed | April 19, 2026, 10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05172697c48190a776fbdcdae93967 |
completed | May 14, 2026, 12:28 a.m. |
| NEDg | Description generation | batch_6a0518f7f4f881908fdcaa91a4c8c92f |
completed | May 14, 2026, 12:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a051965a1a88190ac6648438a8e80d4 |
completed | May 14, 2026, 12:37 a.m. |
Created at: April 10, 2026, 11:48 a.m.