Triple
T3713655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I. L. Peretz |
E81473
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | If Not Higher |
E77832
|
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: If Not Higher | Statement: [I. L. Peretz, notableWork, If Not Higher]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: If Not Higher Context triple: [I. L. Peretz, notableWork, If Not Higher]
-
A.
If Not Higher
chosen
"If Not Higher" is a classic Yiddish short story by I. L. Peretz that gently satirizes religious hypocrisy while celebrating genuine piety and compassion.
-
B.
Go Higher
"Go Higher" is a popular Afro-dancehall track by Ghanaian musician Stonebwoy that showcases his uplifting lyrics and energetic style.
-
C.
Reach Higher
Reach Higher is an education initiative launched by Michelle Obama to inspire and support young people in pursuing and completing postsecondary education.
-
D.
How Low
"How Low" is a popular hip-hop single by American rapper Ludacris, known for its catchy hook and heavy club-oriented production.
-
E.
So High
"So High" is an R&B/soul song by John Legend from his debut album "Get Lifted."
- 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_69ad8b1a81588190b3f27a5483bb610e |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adc9ccfad081908730ed15c6f87ce2 |
completed | March 8, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4ce0c3320819092ca5dd0694e167f |
completed | March 14, 2026, 2:55 a.m. |
Created at: March 8, 2026, 3:33 p.m.