Triple
T19041632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elizabeth |
E466016
|
entity |
| Predicate | speaksQuote |
P78667
|
FINISHED |
| Object | "Blessed are you among women, and blessed is the fruit of your womb" |
—
|
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: "Blessed are you among women, and blessed is the fruit of your womb" | Statement: [Elizabeth, speaksQuote, "Blessed are you among women, and blessed is the fruit of your womb"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: speaksQuote Context triple: [Elizabeth, speaksQuote, "Blessed are you among women, and blessed is the fruit of your womb"]
-
A.
notableQuote
Indicates that one entity is a significant or well-known quotation attributed to, recorded by, or strongly associated with another entity.
-
B.
quoteType
Indicates the specific category or classification of a quotation, such as its style, purpose, or contextual role in discourse.
-
C.
quoteLanguage
Indicates that a quoted text is expressed in a particular language.
-
D.
quotationText
chosen
Indicates that the associated text is the exact content of a quotation made or referenced in the relationship.
-
E.
sloganOrQuote
Indicates that one entity is a slogan or quoted phrase associated with another entity.
- 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_69d8dd0359648190bc2a9202c5cf29d2 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d80118248190af6b4c74df5085ad |
completed | April 20, 2026, 7:38 a.m. |
| PD | Predicate disambiguation | batch_69e4b99633c8819097988608c278ecf8 |
completed | April 19, 2026, 11:16 a.m. |
Created at: April 10, 2026, 12:03 p.m.