Triple
T3765525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Smeezingtons |
E82666
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Treasure |
E329491
|
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: Treasure | Statement: [The Smeezingtons, notableWork, Treasure]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Treasure Context triple: [The Smeezingtons, notableWork, Treasure]
-
A.
Treasure
chosen
"Treasure" is a 2013 funk- and disco-influenced pop song by Bruno Mars, known for its retro sound and upbeat, danceable vibe.
-
B.
Buried Treasure
"Buried Treasure" is a song by Kenny Rogers from his 1983 album "Eyes That See in the Dark."
-
C.
Schatz
Schatz is a German-language surname borne by various individuals of German and Jewish heritage.
-
D.
Trésor
Trésor is a classic and bestselling women’s fragrance by Lancôme, renowned for its romantic, elegant, and timeless scent.
-
E.
Treasure & Bond
Treasure & Bond is a contemporary lifestyle brand sold at Nordstrom, known for its casual, on-trend apparel and accessories that often support charitable causes.
- 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_69ad8b207b0081909d2b48843fbd8795 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcbfeb52081909c38103beb5dbdcd |
completed | March 8, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4e5221ab08190a3599afbbd5dbc6e |
completed | March 14, 2026, 4:33 a.m. |
Created at: March 8, 2026, 3:35 p.m.