Triple
T13672835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chasing Summer |
E327793
|
entity |
| Predicate | featuresArtist |
P1952
|
FINISHED |
| Object | Zacari |
E530296
|
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: Zacari | Statement: [Chasing Summer, featuresArtist, Zacari]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zacari Context triple: [Chasing Summer, featuresArtist, Zacari]
-
A.
Zacari
chosen
Zacari is an American singer, songwriter, and producer known for his soulful vocals and collaborations with artists like Kendrick Lamar under the Top Dawg Entertainment label.
-
B.
Zaccaria
Zaccaria is an Italian surname historically associated with a prominent noble and ruling family, particularly active in medieval and early Renaissance Greece and the Aegean.
-
C.
Zac
Zac is a common shortened form of the given name Isaac.
-
D.
Zachi
Zachi is a character in Montesquieu's epistolary novel "Persian Letters," which satirically explores French society and culture through the correspondence of Persian travelers.
-
E.
Zak
Zak is a masculine given name, often used as a short form of names like Zachary or Zakaria.
- 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_69d8076f1fa8819094664a59b55010df |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc65aab348190a6611f5765f8392d |
completed | April 12, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78b1222648190a70f50e6e5c34593 |
completed | May 3, 2026, 5:51 p.m. |
Created at: April 9, 2026, 9:53 p.m.