Triple
T11298467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | block M logo |
E267513
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
Block M
Block M is the iconic maize-and-blue letter emblem representing the University of Michigan.
|
E917836
|
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: Block M | Statement: [block M logo, shortName, Block M]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Block M Context triple: [block M logo, shortName, Block M]
-
A.
Block D
Block D is a local administrative and residential subdivision within the planned town of Kalyani in West Bengal, India.
-
B.
Block C
Block C is an administrative subdivision within the town of Kalyani in West Bengal, India.
-
C.
Block I
Block I is one of the massive seaside accommodation blocks within the Nazi-era Prora resort complex on Germany’s Baltic Sea island of Rügen.
-
D.
E Block
E Block is a cellblock within the fictional Cold Mountain Penitentiary, notably depicted as the death row section in Stephen King’s novel "The Green Mile."
-
E.
Block V
Block V is an advanced production variant of the U.S. Navy’s Virginia-class nuclear-powered attack submarines, featuring enhanced capabilities such as increased payload capacity and improved mission flexibility.
- 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: Block M Triple: [block M logo, shortName, Block M]
Generated description
Block M is the iconic maize-and-blue letter emblem representing the University of Michigan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Block M Target entity description: Block M is the iconic maize-and-blue letter emblem representing the University of Michigan.
-
A.
Block D
Block D is a local administrative and residential subdivision within the planned town of Kalyani in West Bengal, India.
-
B.
Block C
Block C is an administrative subdivision within the town of Kalyani in West Bengal, India.
-
C.
Block I
Block I is one of the massive seaside accommodation blocks within the Nazi-era Prora resort complex on Germany’s Baltic Sea island of Rügen.
-
D.
E Block
E Block is a cellblock within the fictional Cold Mountain Penitentiary, notably depicted as the death row section in Stephen King’s novel "The Green Mile."
-
E.
Block V
Block V is an advanced production variant of the U.S. Navy’s Virginia-class nuclear-powered attack submarines, featuring enhanced capabilities such as increased payload capacity and improved mission flexibility.
- 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_69d6aac993a08190a6f36445ebaf9a43 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9a3616c8190a8fd23ca67463806 |
completed | April 9, 2026, 6:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e50a3e26e88190991127a5993a32a4 |
completed | April 19, 2026, 5 p.m. |
| NEDg | Description generation | batch_69e510f9edb4819097e9fa1ce85504ed |
completed | April 19, 2026, 5:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e516ac8dec81909c9c1eece372189e |
completed | April 19, 2026, 5:53 p.m. |
Created at: April 8, 2026, 9:32 p.m.