Triple
T9157431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | International Mission Board |
E219740
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
IMB
IMB is a Christian missionary organization of the Southern Baptist Convention that focuses on sending and supporting missionaries around the world.
|
E782046
|
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: IMB | Statement: [International Mission Board, alsoKnownAs, IMB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: IMB Context triple: [International Mission Board, alsoKnownAs, IMB]
-
A.
IMB
IMB was a large underground water Cherenkov detector in the United States, originally built to search for proton decay and later known for detecting neutrinos from supernova SN 1987A.
-
B.
IMM
IMM is a research organization focused on advancing molecular nanotechnology and atomically precise manufacturing.
-
C.
IMK
IMK is the German Standing Conference of the Interior Ministers of the federal states, a key body for coordinating internal security and domestic policy across Germany’s Länder.
-
D.
Imbaba
Imbaba is a densely populated working-class district in the Giza Governorate of Greater Cairo, known for its informal urban development and vibrant local markets.
-
E.
IBI
IBI is an academic institute focused on advancing research, education, and practice in business innovation and entrepreneurship.
- 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: IMB Triple: [International Mission Board, alsoKnownAs, IMB]
Generated description
IMB is a Christian missionary organization of the Southern Baptist Convention that focuses on sending and supporting missionaries around the world.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: IMB Target entity description: IMB is a Christian missionary organization of the Southern Baptist Convention that focuses on sending and supporting missionaries around the world.
-
A.
IMB
IMB was a large underground water Cherenkov detector in the United States, originally built to search for proton decay and later known for detecting neutrinos from supernova SN 1987A.
-
B.
IMM
IMM is a research organization focused on advancing molecular nanotechnology and atomically precise manufacturing.
-
C.
IMK
IMK is the German Standing Conference of the Interior Ministers of the federal states, a key body for coordinating internal security and domestic policy across Germany’s Länder.
-
D.
Imbaba
Imbaba is a densely populated working-class district in the Giza Governorate of Greater Cairo, known for its informal urban development and vibrant local markets.
-
E.
IBI
IBI is an academic institute focused on advancing research, education, and practice in business innovation and entrepreneurship.
- 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_69ca83e25418819093c6503deeaf30de |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca9d6b9ac819094efe12c1ed67ecf |
completed | April 1, 2026, 5:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d054620fbc8190b20afa6922605685 |
completed | April 3, 2026, 11:59 p.m. |
| NEDg | Description generation | batch_69d055291054819088fa0d2e424b54bd |
completed | April 4, 2026, 12:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0564391cc81909c0cea2d49c38fb4 |
completed | April 4, 2026, 12:07 a.m. |
Created at: March 30, 2026, 7:21 p.m.