Triple
T37553965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baron Geddon |
E933649
|
entity |
| Predicate | instance |
P189062
|
FINISHED |
| Object | Molten Core |
—
|
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: Molten Core | Statement: [Baron Geddon, instance, Molten Core]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: instance Context triple: [Baron Geddon, instance, Molten Core]
-
A.
institution
Indicates that one entity is an organization or establishment (such as a school, bank, or government body) that serves as a structured social or functional institution.
-
B.
oid
Indicates a unique identifier relationship, where the predicate links an entity to its specific object identifier (OID) used to distinguish it from all other entities.
-
C.
infraclass
Indicates a taxonomic relationship where one entity is classified as an infraclass, a rank below subclass and above order, within the biological hierarchy of another.
-
D.
namespace
Indicates a scoping relationship in which identifiers or symbols are grouped under a specific context or name to avoid conflicts and organize them.
-
E.
initializer
Indicates the entity that sets up or prepares another entity, process, or structure for its initial state or first use.
- 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_69f76eca55bc8190acf25741793d5dac |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbb084760c8190a1554985d3c3cb7a |
completed | May 6, 2026, 9:20 p.m. |
| PD | Predicate disambiguation | batch_69fbadf3cb548190ba3b7514f76b790a |
completed | May 6, 2026, 9:09 p.m. |
| PDg | Predicate description generation | batch_69fbb083ab708190a18b045311106f27 |
completed | May 6, 2026, 9:20 p.m. |
Created at: May 3, 2026, 4:17 p.m.