Triple
T26630774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alan Bradley |
E668483
|
entity |
| Predicate | hasProgramCounterpart |
P192969
|
FINISHED |
| Object | Tron |
—
|
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: Tron | Statement: [Alan Bradley, hasProgramCounterpart, Tron]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProgramCounterpart Context triple: [Alan Bradley, hasProgramCounterpart, Tron]
-
A.
hasCounterpart
Indicates that one entity corresponds to, matches, or serves as an equivalent or parallel version of another entity.
-
B.
hasSmallerCounterpart
Indicates that one entity has another entity as its corresponding version that is smaller in size, scale, or magnitude.
-
C.
hasCounterpartName
Indicates that an entity has an alternative or corresponding name used as its counterpart in another context, system, or representation.
-
D.
hasProgramCounter
Indicates that an entity is associated with a program counter, i.e., a register or mechanism that tracks the address of the next instruction to be executed.
-
E.
isCompilationCounterpartOf
Indicates that one entity is the compiled or aggregated version corresponding to another, typically transforming multiple parts or sources into a single combined whole.
- 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_69ee9cff507c819092b95bf7219a702e |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69fd35d108908190b79b1e8e6bbd62aa |
completed | May 8, 2026, 1:01 a.m. |
| PD | Predicate disambiguation | batch_69fd34cb46108190b43c3b7f67ec4cd4 |
completed | May 8, 2026, 12:56 a.m. |
| PDg | Predicate description generation | batch_69fd35d029588190a525aa8a506e7708 |
completed | May 8, 2026, 1:01 a.m. |
Created at: April 27, 2026, 2:25 a.m.