Triple
T22127892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wildcard |
E546836
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Holy Water |
—
|
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: Holy Water | Statement: [Wildcard, hasTrack, Holy Water]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Holy Water Context triple: [Wildcard, hasTrack, Holy Water]
-
A.
Holy Water
chosen
"Holy Water" is a song by the American rock band Soundgarden from their 1991 album *Badmotorfinger*.
-
B.
Agua Bendita
Agua Bendita is a Colombian swimwear and beachwear brand known for its vibrant, handcrafted designs and international fashion presence.
-
C.
Sanctify
"Sanctify" is a 2018 electropop single by British band Years & Years that blends R&B influences with themes of desire, power, and queer identity.
-
D.
Heavenly Waters
Heavenly Waters is a traditional constellation family grouping together several water-related constellations in the southern sky.
-
E.
Black Water
Black Water is a film featuring Australian actress Maeve Dermody in a prominent role.
- 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_69e11e39bf348190b541bfa16a7b71e0 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12982eaa08190933d3036c020f562 |
completed | April 28, 2026, 9:41 p.m. |
Created at: April 16, 2026, 8:32 p.m.