Triple
T9878730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blackbird |
E240146
|
entity |
| Predicate | hasRightsSociety |
P39434
|
FINISHED |
| Object |
BMI
BMI is a major U.S. performing rights organization that licenses and collects royalties for songwriters, composers, and music publishers.
|
E826596
|
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: BMI | Statement: [Blackbird, hasRightsSociety, BMI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BMI Context triple: [Blackbird, hasRightsSociety, BMI]
-
A.
BMI
BMI is the commonly used abbreviation for Germany’s Federal Ministry of the Interior, which is responsible for domestic security, public administration, and constitutional affairs.
-
B.
BMIN
BMIN is the abbreviated name for the former U.S. Bureau of Marine Inspection and Navigation, a federal agency that oversaw merchant vessel safety and documentation.
-
C.
BMR
BMR is the station code for Bellmore station on the Long Island Rail Road in New York.
-
D.
BMR
BMR is the National Rail station code for Barlow Moor Road railway station in the United Kingdom.
-
E.
BMI Urban Award
The BMI Urban Award is a music industry honor presented by Broadcast Music, Inc. to recognize outstanding songwriting and publishing achievements in urban genres such as R&B and hip-hop.
- 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: BMI Triple: [Blackbird, hasRightsSociety, BMI]
Generated description
BMI is a major U.S. performing rights organization that licenses and collects royalties for songwriters, composers, and music publishers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BMI Target entity description: BMI is a major U.S. performing rights organization that licenses and collects royalties for songwriters, composers, and music publishers.
-
A.
BMI
BMI is the commonly used abbreviation for Germany’s Federal Ministry of the Interior, which is responsible for domestic security, public administration, and constitutional affairs.
-
B.
BMIN
BMIN is the abbreviated name for the former U.S. Bureau of Marine Inspection and Navigation, a federal agency that oversaw merchant vessel safety and documentation.
-
C.
BMR
BMR is the station code for Bellmore station on the Long Island Rail Road in New York.
-
D.
BMR
BMR is the National Rail station code for Barlow Moor Road railway station in the United Kingdom.
-
E.
BMI Urban Award
The BMI Urban Award is a music industry honor presented by Broadcast Music, Inc. to recognize outstanding songwriting and publishing achievements in urban genres such as R&B and hip-hop.
- 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_69ca84e8a0788190b9061811d50fd554 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb4135c108190b3330e929509699d |
completed | April 2, 2026, 12:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1e480ead08190992eb43ea3eac38b |
completed | April 5, 2026, 4:26 a.m. |
| NEDg | Description generation | batch_69d1e5d0da7081908e14fe4bc6623ea5 |
completed | April 5, 2026, 4:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1e6af89f88190abe63f8172182f58 |
completed | April 5, 2026, 4:35 a.m. |
Created at: March 30, 2026, 8:37 p.m.