Triple
T1960841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Way, the Truth, and the Life |
E42382
|
entity |
| Predicate | englishRendering |
P31361
|
FINISHED |
| Object | I am the way, the truth, and the life |
—
|
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: I am the way, the truth, and the life | Statement: [Way, the Truth, and the Life, englishRendering, I am the way, the truth, and the life]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: englishRendering Context triple: [Way, the Truth, and the Life, englishRendering, I am the way, the truth, and the life]
-
A.
EnglishVersionFeature
Indicates that the related item is a feature or aspect specifically associated with the English-language version of something.
-
B.
EnglishTranslation
chosen
Indicates that one expression is the English-language translation equivalent of another expression.
-
C.
englishFlagship
Indicates that an entity participates in or is associated with an English flagship program (typically an intensive, advanced English language or studies track).
-
D.
EnglishEditionURL
Indicates the web address where the English-language edition or version of an item can be accessed.
-
E.
hasEnglishName
Indicates that an entity is associated with a name expressed in the English language.
- 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_69a8870eea088190a38781990812a9bc |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb68a8e608190bc37a85913b3cd44 |
completed | March 7, 2026, 5:24 a.m. |
| PD | Predicate disambiguation | batch_69abaff5dbd48190a9d36ca60de151db |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:36 p.m.