Triple
T21936637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jared |
E541704
|
entity |
| Predicate | livedBefore |
P44756
|
FINISHED |
| Object | the Flood |
—
|
NE NERFINISHED |
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 Flood | Statement: [Jared, livedBefore, the Flood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: the Flood Context triple: [Jared, livedBefore, the Flood]
-
A.
The Flood
"The Flood" is a 2006 pop-rock album by British band Take That that marked their successful comeback after a decade-long hiatus.
-
B.
The Flood
chosen
The Flood is a famous biblical scene depicting the story of Noah and the great deluge, notably rendered with dramatic intensity in Renaissance art.
-
C.
The Flood
The Flood is a lesser-known novella by Russian author Yevgeny Zamyatin that explores psychological turmoil, jealousy, and moral decay in post-revolutionary Soviet society.
-
D.
The Flood
"The Flood" is a modern dance work choreographed by influential German-American modern dance pioneer Hanya Holm.
-
E.
Flood
Flood is a common English surname of Germanic origin, often associated with families from regions prone to flooding or near bodies of water.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c47e2e5c81909a7f74ce3de50911 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1241c909c81908644eb73baa9def1 |
completed | April 28, 2026, 9:18 p.m. |
Created at: April 16, 2026, 7:54 p.m.