Triple
T28668174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | R'lyehian |
E725636
|
entity |
| Predicate | notablePhraseMeaning |
P8493
|
FINISHED |
| Object | In his house at R'lyeh dead Cthulhu waits dreaming |
—
|
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: In his house at R'lyeh dead Cthulhu waits dreaming | Statement: [R'lyehian, notablePhraseMeaning, In his house at R'lyeh dead Cthulhu waits dreaming]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notablePhraseMeaning Context triple: [R'lyehian, notablePhraseMeaning, In his house at R'lyeh dead Cthulhu waits dreaming]
-
A.
meaningOfPhrase
chosen
Indicates that one entity expresses or defines the semantic content or interpretation of a given phrase.
-
B.
stringMeaning
Indicates that one entity represents the semantic content or interpretation of a given string associated with another entity.
-
C.
apMeaning
Indicates that one entity expresses, conveys, or signifies the meaning or semantic content of another entity.
-
D.
commonMeaning
Indicates that multiple entities share the same or very similar meaning or semantic interpretation.
-
E.
etMeaning
Indicates that one entity expresses or conveys the semantic content or intended sense of another entity (such as a word, phrase, or symbol).
- 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_69f01d85be388190b669a0e401e2f2c4 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_6a015ff02814819094806517fc4c69fa |
completed | May 11, 2026, 4:49 a.m. |
| PD | Predicate disambiguation | batch_6a0154ddd3c48190b85f9f48731cfd8f |
completed | May 11, 2026, 4:02 a.m. |
Created at: April 28, 2026, 5:02 a.m.