Triple
T36226704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Susan Murphy |
E891118
|
entity |
| Predicate | heightAfterTransformation |
P185062
|
FINISHED |
| Object | approximately 49 feet 11 inches |
—
|
LITERAL FINISHED |
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: approximately 49 feet 11 inches | Statement: [Susan Murphy, heightAfterTransformation, approximately 49 feet 11 inches]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: heightAfterTransformation Context triple: [Susan Murphy, heightAfterTransformation, approximately 49 feet 11 inches]
-
A.
ageAfterTransformation
Indicates that an entity’s age is measured or defined after undergoing a specified transformation or change.
-
B.
reconstructedHeight
Indicates the estimated original height of an entity as inferred or reconstructed from available evidence or data.
-
C.
originalHeight
Indicates the initial or starting height of an entity before any change, adjustment, or transformation occurs.
-
D.
hasHeight
Indicates that one entity possesses a specific vertical measurement or stature.
-
E.
heightOfFigure
Indicates the measurement of how tall a figure is, typically from its base to its highest point.
- 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_69f76e4387048190a1b27bcbf4ec7423 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7bb1d6b70819091227bd011734d19 |
completed | May 3, 2026, 9:16 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a4aad48190a62e41c5e39339d9 |
completed | May 3, 2026, 9:09 p.m. |
| PDg | Predicate description generation | batch_69f7ba6c27e081908868a2b50d1d603c |
completed | May 3, 2026, 9:13 p.m. |
Created at: May 3, 2026, 4:09 p.m.