Triple
T23157078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stephen Harriman Long |
E578471
|
entity |
| Predicate | designed |
P184
|
FINISHED |
| Object | Long truss |
—
|
NE NERFINISHED |
How this triple was built (2 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: Long truss | Statement: [Stephen Harriman Long, designed, Long truss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Long truss Context triple: [Stephen Harriman Long, designed, Long truss]
-
A.
Truss
Truss is a British Conservative politician who briefly served as Prime Minister of the United Kingdom in 2022.
-
B.
Parker truss
A Parker truss is a type of truss bridge characterized by a polygonal top chord that efficiently distributes loads over longer spans.
-
C.
Howe truss
chosen
The Howe truss is a structural bridge and roof truss design characterized by vertical iron or steel tension rods and diagonal wooden compression members, widely used in 19th-century railroad and covered bridges.
-
D.
S5 truss segment
The S5 truss segment is a structural component of the International Space Station’s integrated truss assembly that extends the station’s power and cooling infrastructure.
-
E.
Trammel
Trammel is a notable police officer serving in the Charming Police Department, recognized for his role in law enforcement within the fictional town of Charming.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245fb8de081908f0eba7b5fd75bc4 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18efe1b0081908e81b757d64c067c |
completed | April 29, 2026, 4:54 a.m. |
Created at: April 17, 2026, 4:01 p.m.