Triple
T11166639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hot Pink |
E264174
|
entity |
| Predicate | precededBy |
P97
|
FINISHED |
| Object | Amala |
E264175
|
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: Amala | Statement: [Hot Pink, precededBy, Amala]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amala Context triple: [Hot Pink, precededBy, Amala]
-
A.
Amala
chosen
Amala is the debut studio album by American rapper and singer Doja Cat, showcasing her early blend of R&B, pop, and hip hop.
-
B.
Sandesh
Sandesh is a renowned Bengali children's magazine known for its literary and artistic contributions to children's literature in India.
-
C.
Sandesh
Sandesh is a traditional Bengali milk-based sweet delicacy, especially associated with the cuisine and festivals of West Bengal, India.
-
D.
Pithla Bhakri
Pithla Bhakri is a rustic Maharashtrian staple meal consisting of a spiced gram-flour curry (pithla) served with a hearty unleavened flatbread (bhakri), commonly eaten by rural and working-class communities.
-
E.
Appam
Appam is a soft, bowl-shaped South Indian pancake made from fermented rice batter and coconut milk, commonly eaten for breakfast or dinner with curries in Kerala.
- 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_69d6aa9dafac8190bd90d2c74f661aa7 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e88843cc81909e503f0921c6d297 |
completed | April 9, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e463945e40819087c6bdbc322a6d54 |
completed | April 19, 2026, 5:09 a.m. |
Created at: April 8, 2026, 9:29 p.m.