Triple
T27938035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Lawrence Gordon |
E700663
|
entity |
| Predicate | cellmate |
P163799
|
FINISHED |
| Object | Adam Stanheight |
—
|
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: Adam Stanheight | Statement: [Dr. Lawrence Gordon, cellmate, Adam Stanheight]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cellmate Context triple: [Dr. Lawrence Gordon, cellmate, Adam Stanheight]
-
A.
cellularComponent
Indicates the relationship between a biological entity and the specific cellular location or structure in which it is physically present or functions.
-
B.
cellType
Indicates the classification relationship that specifies what type of cell an entity is or is associated with.
-
C.
cellStructure
Indicates the structural organization, components, and physical arrangement that make up a cell.
-
D.
cellLevels
Indicates a relationship where specific levels or layers within a cell (or cellular structure) are identified, characterized, or associated with another entity.
-
E.
cellTypeUsed
Indicates that a particular type of cell is employed or utilized in relation to another entity or process.
- 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_69ef6a5028108190a14696d9821dde49 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f63c045bd081908e0cb2a119202e8f |
completed | May 2, 2026, 6:01 p.m. |
| PD | Predicate disambiguation | batch_69f6370ea79c81909b761821ee0fa698 |
completed | May 2, 2026, 5:40 p.m. |
| PDg | Predicate description generation | batch_69f63b3039808190b00bbd19161487f3 |
completed | May 2, 2026, 5:58 p.m. |
Created at: April 27, 2026, 7:15 p.m.