Triple
T20389375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moonlighting |
E498044
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
David Addison Jr.
David Addison Jr. is the wisecracking, charismatic private detective played by Bruce Willis on the 1980s television series "Moonlighting."
|
E1428720
|
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: David Addison Jr. | Statement: [Moonlighting, character, David Addison Jr.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Addison Jr. Context triple: [Moonlighting, character, David Addison Jr.]
-
A.
Bruce Douglas Johnson
Bruce Douglas Johnson is a cinematographer best known for his work on the stoner comedy film "Harold & Kumar Go to White Castle."
-
B.
Alex Johnson
Alex Johnson is a musician best known as a member of the Canadian rock band Big Sugar.
-
C.
Frank M. Johnson Jr.
Frank M. Johnson Jr. was a prominent U.S. federal judge known for his pivotal civil rights rulings that helped dismantle segregation in the American South.
-
D.
Bill Pierce
Bill Pierce is the husband of acclaimed American novelist Celeste Ng.
-
E.
John Sullivan
John Sullivan was a celebrated British television writer best known for creating the classic sitcom "Only Fools and Horses."
- 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: David Addison Jr. Triple: [Moonlighting, character, David Addison Jr.]
Generated description
David Addison Jr. is the wisecracking, charismatic private detective played by Bruce Willis on the 1980s television series "Moonlighting."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: David Addison Jr. Target entity description: David Addison Jr. is the wisecracking, charismatic private detective played by Bruce Willis on the 1980s television series "Moonlighting."
-
A.
Bruce Douglas Johnson
Bruce Douglas Johnson is a cinematographer best known for his work on the stoner comedy film "Harold & Kumar Go to White Castle."
-
B.
Alex Johnson
Alex Johnson is a musician best known as a member of the Canadian rock band Big Sugar.
-
C.
Frank M. Johnson Jr.
Frank M. Johnson Jr. was a prominent U.S. federal judge known for his pivotal civil rights rulings that helped dismantle segregation in the American South.
-
D.
Bill Pierce
Bill Pierce is the husband of acclaimed American novelist Celeste Ng.
-
E.
John Sullivan
John Sullivan was a celebrated British television writer best known for creating the classic sitcom "Only Fools and Horses."
- 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_69e0b4a71ebc8190b153a36c738730f4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6790e65a081909832855758fffd14 |
completed | April 20, 2026, 7:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08762218448190a3339dbbe0f23962 |
completed | May 16, 2026, 1:50 p.m. |
| NEDg | Description generation | batch_6a087754af1481909a8ffa042aad2f42 |
completed | May 16, 2026, 1:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0877dcf9548190bd42db7a54aea824 |
completed | May 16, 2026, 1:57 p.m. |
Created at: April 16, 2026, 11:28 a.m.