Triple
T37770021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fantomex |
E941520
|
entity |
| Predicate | EVAInstanceOf |
P189020
|
FINISHED |
| Object | techno-organic external nervous system |
—
|
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: techno-organic external nervous system | Statement: [Fantomex, EVAInstanceOf, techno-organic external nervous system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: EVAInstanceOf Context triple: [Fantomex, EVAInstanceOf, techno-organic external nervous system]
-
A.
instanceOf
relation of type constraints
-
B.
MiraBInstanceOf
Indicates that an entity is an instance (specific occurrence) of a given class, type, or category within the MiraB schema or ontology.
-
C.
sonInstanceOf
Indicates that an entity is a specific instance or example of the general concept or class represented by "son."
-
D.
TaygeteInstanceOf
Indicates that Taygete is classified as an instance of a specified type, category, or class.
-
E.
RavenInstanceOf
Indicates that a given entity is classified as an instance of the category or class "Raven."
- 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_69f76ee4431881908f87e8892a9f39f3 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbaf48ba148190a8bdfd6846ad0540 |
completed | May 6, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69fbadf632ec8190b14991c971258307 |
completed | May 6, 2026, 9:09 p.m. |
| PDg | Predicate description generation | batch_69fbaeef9c488190babb546b962b4fb6 |
completed | May 6, 2026, 9:13 p.m. |
Created at: May 3, 2026, 4:19 p.m.