Triple
T17300453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lady Godiva |
E420024
|
entity |
| Predicate | mythRealityStatus |
P29186
|
FINISHED |
| Object | historical person with legendary narrative |
—
|
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: historical person with legendary narrative | Statement: [Lady Godiva, mythRealityStatus, historical person with legendary narrative]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mythRealityStatus Context triple: [Lady Godiva, mythRealityStatus, historical person with legendary narrative]
-
A.
realityStatus
chosen
Indicates the relationship between an entity and its state of existence or authenticity within a given context or world (e.g., real, fictional, hypothetical, simulated).
-
B.
mythVariant
Indicates that one mythological narrative is a version, retelling, or alternative form of another myth.
-
C.
usesMythOf
Indicates that one entity employs or invokes a myth or mythical narrative about another entity as part of its actions, explanations, or representations.
-
D.
questionedFact
Indicates that one entity has asked about or challenged the truth, accuracy, or validity of a particular fact associated with another entity.
-
E.
isActually
Indicates that something is in fact a particular way or identity, often clarifying or correcting a previous or apparent understanding.
- F. None of above.
Provenance (3 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_69d886db32608190a61e18862c5a8af6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e438f9e5ac8190ba0b5820790112d9 |
completed | April 19, 2026, 2:07 a.m. |
| PD | Predicate disambiguation | batch_69e3b0118ad08190b119cd219c68ba67 |
completed | April 18, 2026, 4:23 p.m. |
Created at: April 10, 2026, 5:41 a.m.