Triple
T3917068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LMS Black Five |
E88866
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Black Five
Black Five is the popular nickname for the LMS Stanier Class 5 4-6-0, a widely used British mixed-traffic steam locomotive class introduced in the 1930s.
|
E400051
|
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: Black Five | Statement: [LMS Black Five, nickname, Black Five]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Black Five Context triple: [LMS Black Five, nickname, Black Five]
-
A.
Blackhawk
Blackhawk is the athletic and school spirit mascot representing Springs Valley High School’s teams and student body.
-
B.
SkyHawk
SkyHawk is Seagate’s specialized line of hard disk drives designed for surveillance systems, optimized for continuous 24/7 video recording and high reliability.
-
C.
Navy One
Navy One is the special U.S. Navy aircraft call sign used when the President of the United States is aboard a naval aircraft.
-
D.
Army One
Army One is the official air traffic control call sign used for any U.S. Army aircraft carrying the President of the United States.
-
E.
Bombers
Bombers was the nickname of the St. Louis Bombers, a former professional basketball team that played in the Basketball Association of America and early NBA.
- 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: Black Five Triple: [LMS Black Five, nickname, Black Five]
Generated description
Black Five is the popular nickname for the LMS Stanier Class 5 4-6-0, a widely used British mixed-traffic steam locomotive class introduced in the 1930s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Black Five Target entity description: Black Five is the popular nickname for the LMS Stanier Class 5 4-6-0, a widely used British mixed-traffic steam locomotive class introduced in the 1930s.
-
A.
Blackhawk
Blackhawk is the athletic and school spirit mascot representing Springs Valley High School’s teams and student body.
-
B.
SkyHawk
SkyHawk is Seagate’s specialized line of hard disk drives designed for surveillance systems, optimized for continuous 24/7 video recording and high reliability.
-
C.
Navy One
Navy One is the special U.S. Navy aircraft call sign used when the President of the United States is aboard a naval aircraft.
-
D.
Army One
Army One is the official air traffic control call sign used for any U.S. Army aircraft carrying the President of the United States.
-
E.
Bombers
Bombers was the nickname of the St. Louis Bombers, a former professional basketball team that played in the Basketball Association of America and early NBA.
- 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_69aed955229881909e85e73ffab1d343 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeed5797508190adaddb84575d9bb3 |
completed | March 9, 2026, 3:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b52864e0488190ab348a52cb9168b9 |
completed | March 14, 2026, 9:20 a.m. |
| NEDg | Description generation | batch_69b52c3423988190aae6514041dc8ab3 |
completed | March 14, 2026, 9:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b52ca9443481909e43a8bbe208c807 |
completed | March 14, 2026, 9:38 a.m. |
Created at: March 9, 2026, 3:22 p.m.