Triple
T4979091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Witness Tree |
E111838
|
entity |
| Predicate | hasPoem |
P21160
|
FINISHED |
| Object | Carpe Diem |
E298561
|
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: Carpe Diem | Statement: [A Witness Tree, hasPoem, Carpe Diem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carpe Diem Context triple: [A Witness Tree, hasPoem, Carpe Diem]
-
A.
Carpe Diem
Carpe Diem is a popular expansion for the card game Uno that adds new cards and rules to vary gameplay.
-
B.
Carpe Diem
chosen
Carpe Diem is a 2020 studio album by Nigerian rapper and singer Olamide that blends Afrobeats, hip-hop, and street-pop influences.
-
C.
Hodie
Hodie is a Christmas cantata by English composer Ralph Vaughan Williams that blends traditional carols with original choral and orchestral music.
-
D.
Flourish
Flourish is a positive psychology book by Martin Seligman that outlines his theory of well-being and practical strategies for enhancing happiness and life satisfaction.
-
E.
Cherish the Day
Cherish the Day is an anthology romantic drama television series created by Ava DuVernay that explores the evolution of Black love through intimate, character-driven storytelling.
- 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_69bd441adc208190b70a033a0741d01e |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd723418e881908f1e43b1be0a2f17 |
completed | March 20, 2026, 4:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be8a0ac8d48190b9d050e26b67a794 |
completed | March 21, 2026, 12:07 p.m. |
Created at: March 20, 2026, 1:33 p.m.