Triple
T5862992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zoo Station |
E130319
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Flood |
E130315
|
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: Flood | Statement: [Zoo Station, producer, Flood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flood Context triple: [Zoo Station, producer, Flood]
-
A.
Flood
chosen
Flood is a renowned British record producer and audio engineer known for his work with influential rock and alternative artists such as U2, Depeche Mode, and Nine Inch Nails.
-
B.
Flood
Flood is a common English surname of Germanic origin, often associated with families from regions prone to flooding or near bodies of water.
-
C.
Flood
Flood is a landmark 1963 abstract expressionist painting by Helen Frankenthaler, celebrated for its lyrical color field technique and innovative use of thinned paint poured directly onto unprimed canvas.
-
D.
Flood
"Flood" is a science fiction novel by Stephen Baxter that explores a near-future Earth devastated by a mysterious, relentless rise in global sea levels.
-
E.
Waterless Flood
The Waterless Flood is a catastrophic, bioengineered pandemic in Margaret Atwood’s MaddAddam trilogy that wipes out most of humanity without involving an actual deluge.
- 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_69c0084f3bb08190a7720f55f7aa4252 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0358b11308190b2ef1c8febccc4b4 |
completed | March 22, 2026, 6:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0e36fa8ac8190add9a5eb3ada4d0f |
completed | March 23, 2026, 6:53 a.m. |
Created at: March 22, 2026, 3:56 p.m.