Triple
T36497174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank DeTorri |
E899221
|
entity |
| Predicate | overweight |
P185771
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Frank DeTorri, overweight, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: overweight Context triple: [Frank DeTorri, overweight, true]
-
A.
weight
Indicates a relationship where a numerical value quantifies how heavy an entity is, often used to measure or compare mass or load.
-
B.
وزن
Indicates a relationship where one entity has, measures, or is characterized by a certain weight or mass.
-
C.
over
Indicates that one entity is positioned higher than and extending across or above another entity, often covering or spanning it.
-
D.
overburden
Indicates that one entity places an excessive load, demand, or responsibility on another, beyond what it can reasonably handle.
-
E.
weightCondition
Indicates that a specified weight-related requirement or constraint holds between entities or values.
- 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_69f76e5b92088190933afda3f7531dd4 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c371931c8190afb1d4dd5157f92c |
completed | May 3, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69f7c1b91fd88190ab85afd626603769 |
completed | May 3, 2026, 9:44 p.m. |
| PDg | Predicate description generation | batch_69f7c3705b5c81908c84004543a71c07 |
completed | May 3, 2026, 9:51 p.m. |
Created at: May 3, 2026, 4:10 p.m.