Triple
T5636804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Max Planck Institute for Molecular Genetics |
E147967
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
MPIMG
MPIMG is a leading research institute of the Max Planck Society focused on advancing molecular genetics and genomics.
|
E538659
|
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: MPIMG | Statement: [Max Planck Institute for Molecular Genetics, shortName, MPIMG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MPIMG Context triple: [Max Planck Institute for Molecular Genetics, shortName, MPIMG]
-
A.
JPEG
JPEG is a widely used digital image format that compresses photographic content to reduce file size while maintaining acceptable visual quality.
-
B.
PNG
PNG is the three-letter ISO 3166-1 alpha-3 country code representing Papua New Guinea.
-
C.
Images
Images is a set of impressionistic piano pieces by Claude Debussy that evoke vivid, atmospheric soundscapes through innovative harmony and tone color.
-
D.
BMP
BMP is the Basic Multilingual Plane of Unicode, the primary block of code points that encodes the most commonly used characters from modern and many historic writing systems.
-
E.
WireImage
WireImage is a celebrity and entertainment photography agency known for its extensive coverage of red carpet events, premieres, and industry parties.
- 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: MPIMG Triple: [Max Planck Institute for Molecular Genetics, shortName, MPIMG]
Generated description
MPIMG is a leading research institute of the Max Planck Society focused on advancing molecular genetics and genomics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MPIMG Target entity description: MPIMG is a leading research institute of the Max Planck Society focused on advancing molecular genetics and genomics.
-
A.
JPEG
JPEG is a widely used digital image format that compresses photographic content to reduce file size while maintaining acceptable visual quality.
-
B.
PNG
PNG is the three-letter ISO 3166-1 alpha-3 country code representing Papua New Guinea.
-
C.
Images
Images is a set of impressionistic piano pieces by Claude Debussy that evoke vivid, atmospheric soundscapes through innovative harmony and tone color.
-
D.
BMP
BMP is the Basic Multilingual Plane of Unicode, the primary block of code points that encodes the most commonly used characters from modern and many historic writing systems.
-
E.
WireImage
WireImage is a celebrity and entertainment photography agency known for its extensive coverage of red carpet events, premieres, and industry parties.
- 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_69c00907bc8881909ed760d3ed73ef35 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c022809f708190ab859aa446683b10 |
completed | March 22, 2026, 5:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04d70e5d88190b869d54911bc8689 |
completed | March 22, 2026, 8:13 p.m. |
| NEDg | Description generation | batch_69c04e8a92a0819091bad1fbef4a509b |
completed | March 22, 2026, 8:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c056acf1f48190bf7324ae178adbb7 |
completed | March 22, 2026, 8:53 p.m. |
Created at: March 22, 2026, 3:41 p.m.