Triple
T38060467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elvis Presley’s Lisa Marie |
E950325
|
entity |
| Predicate | hasNameOnFuselage |
P200982
|
FINISHED |
| Object | Lisa Marie |
—
|
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: Lisa Marie | Statement: [Elvis Presley’s Lisa Marie, hasNameOnFuselage, Lisa Marie]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNameOnFuselage Context triple: [Elvis Presley’s Lisa Marie, hasNameOnFuselage, Lisa Marie]
-
A.
fuselageType
Indicates the specific structural or design category of an aircraft’s fuselage that an entity belongs to or uses.
-
B.
fuselageVariant
Indicates that one fuselage is a specific version or variant derived from another fuselage design.
-
C.
fuselageCount
Indicates the number of fuselages associated with or contained in an aircraft or aerospace structure.
-
D.
fuselageLength_m
Indicates the measured length of an aircraft’s fuselage, expressed in meters.
-
E.
fuselageWidth
Indicates the width measurement of an aircraft’s fuselage in the specified units.
- F. None of above. chosen
Provenance (4 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_69f76f01e63c819093b6012fc974f35a |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69ffbf84f4948190b41a7bba07ae61ec |
completed | May 9, 2026, 11:13 p.m. |
| PD | Predicate disambiguation | batch_69ffbf0a59f88190870dbe25d8a63a00 |
completed | May 9, 2026, 11:11 p.m. |
| PDg | Predicate description generation | batch_69ffbf8402c48190a9bf3c3fcb874508 |
completed | May 9, 2026, 11:13 p.m. |
Created at: May 3, 2026, 4:21 p.m.