Triple
T7360242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Lady with the Lamp |
E169726
|
entity |
| Predicate | hasEtymologyReason |
P49073
|
FINISHED |
| Object | Florence Nightingale’s habit of making night rounds with a lamp |
—
|
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: Florence Nightingale’s habit of making night rounds with a lamp | Statement: [The Lady with the Lamp, hasEtymologyReason, Florence Nightingale’s habit of making night rounds with a lamp]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEtymologyReason Context triple: [The Lady with the Lamp, hasEtymologyReason, Florence Nightingale’s habit of making night rounds with a lamp]
-
A.
etymologyReason
chosen
Indicates the reason, source, or origin explaining how or why a term acquired its particular etymology.
-
B.
etymologyStatus
Indicates the status or reliability classification of an etymological explanation for a term or name.
-
C.
etymologyType
Indicates the specific kind or category of etymological relationship that links a term to its linguistic origin or source.
-
D.
etymology
Indicates the historical origin and development of a word or term, including its source language and form.
-
E.
etymologicalLanguage
Indicates the language from which a word or term is historically derived in its etymology.
- 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_69c68a59f2288190877ca15c19b1e822 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f26d6d6081909c7272a9ccae0d97 |
completed | March 27, 2026, 9:11 p.m. |
| PD | Predicate disambiguation | batch_69c6f02d36108190bcb34a95e6a30bd7 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:06 p.m.