Triple
T9680013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Youth |
E234254
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Embrace |
E411232
|
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: Embrace | Statement: [Youth, associatedAct, Embrace]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Embrace Context triple: [Youth, associatedAct, Embrace]
-
A.
Embrace
chosen
Embrace is a studio album by Dutch DJ and producer Armin van Buuren that blends trance with diverse musical influences and collaborations.
-
B.
Your Embrace
"Your Embrace" is a pop song by Shakira from her English-language album Oral Fixation, Vol. 2.
-
C.
Here’s Love
"Here’s Love" is a 1963 Broadway musical by Meredith Willson, adapted from the classic film "Miracle on 34th Street."
-
D.
Ready to Love
Ready to Love is a reality dating series that follows successful Black singles navigating romance and relationships, produced by filmmaker and TV producer Will Packer.
-
E.
Let Love
Let Love is a music project or release associated with Boom Bishop, recognized as a notable work in his career.
- 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_69ca84c99e34819092e5563a7106cfca |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9c9dcbe881908ae926a5b5eae759 |
completed | April 1, 2026, 10:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d18a395a508190a185d08f3719ee09 |
completed | April 4, 2026, 10:01 p.m. |
Created at: March 30, 2026, 8:16 p.m.