Triple
T14658287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nice Dreams |
E344165
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object |
Jerome Leroy
Jerome Leroy is a composer known for his work on film scores and other screen music.
|
E1112229
|
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: Jerome Leroy | Statement: [Nice Dreams, musicBy, Jerome Leroy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jerome Leroy Context triple: [Nice Dreams, musicBy, Jerome Leroy]
-
A.
Jerome Gary
Jerome Gary is a film producer best known for his work on the influential 1977 bodybuilding documentary "Pumping Iron."
-
B.
Jerome Webster
Jerome Webster is the protagonist of the 1938 film "City," around whom the story’s central conflicts and developments revolve.
-
C.
Jerome Robinson
Jerome Robinson is a fictional police officer who serves as the central protagonist in the crime novel "End of Watch" by Stephen King.
-
D.
Jerome Robinson
Jerome Robinson is a highly intelligent and tech-savvy teenager who assists retired detective Bill Hodges in investigating a psychopathic killer in the TV series "Mr. Mercedes."
-
E.
Jerome Jackson
Jerome Jackson was a film producer active during the silent and early sound era, known for his work on notable Hollywood productions.
- 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: Jerome Leroy Triple: [Nice Dreams, musicBy, Jerome Leroy]
Generated description
Jerome Leroy is a composer known for his work on film scores and other screen music.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jerome Leroy Target entity description: Jerome Leroy is a composer known for his work on film scores and other screen music.
-
A.
Jerome Gary
Jerome Gary is a film producer best known for his work on the influential 1977 bodybuilding documentary "Pumping Iron."
-
B.
Jerome Webster
Jerome Webster is the protagonist of the 1938 film "City," around whom the story’s central conflicts and developments revolve.
-
C.
Jerome Robinson
Jerome Robinson is a fictional police officer who serves as the central protagonist in the crime novel "End of Watch" by Stephen King.
-
D.
Jerome Robinson
Jerome Robinson is a highly intelligent and tech-savvy teenager who assists retired detective Bill Hodges in investigating a psychopathic killer in the TV series "Mr. Mercedes."
-
E.
Jerome Jackson
Jerome Jackson was a film producer active during the silent and early sound era, known for his work on notable Hollywood productions.
- 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_69d822e283fc8190a0e4c235cf880052 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb51b6a248190a44050c0e0ec2d16 |
completed | April 14, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5e01cd081909c71fdcf67c3b1f5 |
completed | May 8, 2026, 12:24 p.m. |
| NEDg | Description generation | batch_69fdd65a6c24819088fb18ffcdfe6404 |
completed | May 8, 2026, 12:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdd6f172288190ba7097518b1a971e |
completed | May 8, 2026, 12:28 p.m. |
Created at: April 10, 2026, 1:27 a.m.