Triple
T7245195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Second Day |
E156453
|
entity |
| Predicate | follows |
P134
|
FINISHED |
| Object | The First Day |
E651781
|
NE 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: The First Day | Statement: [The Second Day, follows, The First Day]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The First Day Context triple: [The Second Day, follows, The First Day]
-
A.
The First Day
chosen
The First Day is the initial installment in a narrative series whose story is continued in its sequel, The Second Day.
-
B.
First Day
First Day is the opening section of Galileo Galilei’s work "Two New Sciences," in which he introduces foundational discussions on the strength of materials and the nature of scientific inquiry.
-
C.
First of the First
First of the First is the nickname of the 1st Battalion, 1st Marines, a storied infantry battalion of the United States Marine Corps known for its long combat history.
-
D.
From Day to Day
From Day to Day is a World War II concentration camp diary by Norwegian architect Odd Nansen, renowned for its detailed, humane portrayal of life under Nazi imprisonment.
-
E.
Day One
Day One is a popular digital journaling application known for its clean design, cross-platform syncing, and privacy-focused features.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c68827b5e481908dc05e145b2c92d4 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ea596fdc8190b2115363f1033441 |
completed | March 27, 2026, 8:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7db0fd90881908c6b84f1292f0b01 |
completed | March 28, 2026, 1:43 p.m. |
Created at: March 27, 2026, 2:56 p.m.