Triple
T13831763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | One Day as a Lion |
E332414
|
entity |
| Predicate | recordLabel |
P1500
|
FINISHED |
| Object | Anti- |
E433024
|
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: Anti- | Statement: [One Day as a Lion, recordLabel, Anti-]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anti- Context triple: [One Day as a Lion, recordLabel, Anti-]
-
A.
Anti-
chosen
Anti- is an independent record label known for its eclectic roster of critically acclaimed and genre-defying artists.
-
B.
Anti
Anti is Rihanna’s critically acclaimed eighth studio album, known for its experimental R&B sound and artistic departure from her earlier pop-oriented work.
-
C.
antiX
antiX is a lightweight, systemd-free Linux distribution based on Debian, designed to run efficiently on older or low-spec hardware.
-
D.
Ant
Ant is a Java-based build automation tool commonly used to compile, package, and deploy Java applications using XML configuration files.
-
E.
Ant
Ant is an American hip hop producer best known as a core member of the duo Atmosphere and a key figure in the independent rap scene.
- 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_69d81c5ae7c88190b0dd41bdafeb5999 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0299334481908c2b271eaf06e4b7 |
completed | April 14, 2026, 9:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8efe0948190aaf972cccc2ebc90 |
completed | May 3, 2026, 9:06 p.m. |
Created at: April 9, 2026, 10:13 p.m.