Triple
T13734694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unmap |
E329905
|
entity |
| Predicate | hasContributor |
P4244
|
FINISHED |
| Object |
Jim Schoenecker
Jim Schoenecker is a contributor to the Unmap project, likely involved in its development or creative work.
|
E1134587
|
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 Schoenecker | Statement: [Unmap, hasContributor, Jim Schoenecker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jim Schoenecker Context triple: [Unmap, hasContributor, Jim Schoenecker]
-
A.
Jim Schoenecker
Jim Schoenecker is a musician best known for his past role in the experimental indie rock band Collections of Colonies of Bees.
-
B.
Michael Schoeffling
Michael Schoeffling is an American former actor and model best known for his role as Jake Ryan in the 1984 film "Sixteen Candles."
-
C.
Mike Schuler
Mike Schuler is an American basketball coach best known for his successful tenure as head coach of the Portland Trail Blazers in the late 1980s.
-
D.
Kevin Nolting
Kevin Nolting is an American film editor best known for his work on Pixar animated features, including the Academy Award-winning film "Up."
-
E.
Scott Scherr
Scott Scherr is an American entrepreneur best known as the founder and longtime CEO of the human capital management software company Ultimate Software.
- 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 Schoenecker Triple: [Unmap, hasContributor, Jim Schoenecker]
Generated description
Jim Schoenecker is a contributor to the Unmap project, likely involved in its development or creative work.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jim Schoenecker Target entity description: Jim Schoenecker is a contributor to the Unmap project, likely involved in its development or creative work.
-
A.
Jim Schoenecker
Jim Schoenecker is a musician best known for his past role in the experimental indie rock band Collections of Colonies of Bees.
-
B.
Michael Schoeffling
Michael Schoeffling is an American former actor and model best known for his role as Jake Ryan in the 1984 film "Sixteen Candles."
-
C.
Mike Schuler
Mike Schuler is an American basketball coach best known for his successful tenure as head coach of the Portland Trail Blazers in the late 1980s.
-
D.
Kevin Nolting
Kevin Nolting is an American film editor best known for his work on Pixar animated features, including the Academy Award-winning film "Up."
-
E.
Scott Scherr
Scott Scherr is an American entrepreneur best known as the founder and longtime CEO of the human capital management software company Ultimate Software.
- 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_69d80772315881908f980cae40d91664 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de0201d3c48190aa306be231a28bc1 |
completed | April 14, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fea59d27bc81908ace0b7db9f57215 |
completed | May 9, 2026, 3:10 a.m. |
| NEDg | Description generation | batch_69fea66a04988190b483210c1671d287 |
completed | May 9, 2026, 3:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fea70e2fbc81908f168925b06bdbd6 |
completed | May 9, 2026, 3:16 a.m. |
Created at: April 9, 2026, 9:55 p.m.