Triple
T7268802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jordan Walke |
E161046
|
entity |
| Predicate | roleInReasonML |
P76047
|
FINISHED |
| Object | original creator |
—
|
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: original creator | Statement: [Jordan Walke, roleInReasonML, original creator]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInReasonML Context triple: [Jordan Walke, roleInReasonML, original creator]
-
A.
roleInToolchain
Indicates that an entity serves a specific function or position within a larger sequence of tools or processes in a toolchain.
-
B.
roleInBun
Indicates that an entity has a specific functional or contextual role within a particular bundle, grouping, or composite structure.
-
C.
roleInOperation
Indicates that an entity holds a specific function, duty, or position within a particular operation or activity.
-
D.
roleInEngine
Indicates the specific function or responsibility an entity has within an engine or engine-like system.
-
E.
roleInTheory
Indicates the specific function, position, or contribution that an entity has within a particular theory or theoretical framework.
- 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_69c6885181008190b419040e22939c7c |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb088dac8190b353f6ea3d686025 |
completed | March 27, 2026, 8:39 p.m. |
| PD | Predicate disambiguation | batch_69c6e76876608190ac4652bc7153302e |
completed | March 27, 2026, 8:24 p.m. |
| PDg | Predicate description generation | batch_69c6eb06acd881908a1735fbbbd5756f |
completed | March 27, 2026, 8:39 p.m. |
Created at: March 27, 2026, 2:58 p.m.