Triple
T21255251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jim Harris |
E523850
|
entity |
| Predicate | isAmbiguousWith |
P2289
|
FINISHED |
| Object |
Jim Harris (artist)
Jim Harris (artist) is a visual artist known for his creative works, which distinguish him from other individuals sharing the same name.
|
E1474786
|
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: Jim Harris (artist) | Statement: [Jim Harris, isAmbiguousWith, Jim Harris (artist)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jim Harris (artist) Context triple: [Jim Harris, isAmbiguousWith, Jim Harris (artist)]
-
A.
Jeff Harris
Jeff Harris was an American television writer and producer best known for co-creating the popular sitcom "Diff'rent Strokes."
-
B.
Jerry Harris
Jerry Harris is a musician best known as a member of the 1960s American rock band The Music Machine.
-
C.
Bob Harris
Bob Harris is a middle-aged, fading American movie star who forms an unexpected emotional connection with a young woman while adrift in Tokyo in the film "Lost in Translation."
-
D.
Jack Harris
Jack Harris is an actor known for his role in the film "Crashing Towers."
-
E.
Jack Harris
Jack Harris is a film editor known for his work on classic adventure movies such as "The Crimson Pirate."
- 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: Jim Harris (artist) Triple: [Jim Harris, isAmbiguousWith, Jim Harris (artist)]
Generated description
Jim Harris (artist) is a visual artist known for his creative works, which distinguish him from other individuals sharing the same name.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jim Harris (artist) Target entity description: Jim Harris (artist) is a visual artist known for his creative works, which distinguish him from other individuals sharing the same name.
-
A.
Jeff Harris
Jeff Harris was an American television writer and producer best known for co-creating the popular sitcom "Diff'rent Strokes."
-
B.
Jerry Harris
Jerry Harris is a musician best known as a member of the 1960s American rock band The Music Machine.
-
C.
Bob Harris
Bob Harris is a middle-aged, fading American movie star who forms an unexpected emotional connection with a young woman while adrift in Tokyo in the film "Lost in Translation."
-
D.
Jack Harris
Jack Harris is an actor known for his role in the film "Crashing Towers."
-
E.
Jack Harris
Jack Harris is a film editor known for his work on classic adventure movies such as "The Crimson Pirate."
- 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_69e0b5146c108190adc9adb73e90abff |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e735a0e7dc8190b591b5b6786ce619 |
completed | April 21, 2026, 8:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a098ff8b2f08190b1961558bb9c11fe |
completed | May 17, 2026, 9:52 a.m. |
| NEDg | Description generation | batch_6a0990b9b7c8819094f7db294c2e573d |
completed | May 17, 2026, 9:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0991cdf6408190a590d8907f2fe880 |
completed | May 17, 2026, 10 a.m. |
Created at: April 16, 2026, 3:58 p.m.