Triple
T21935369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Real Hasta la Muerte |
E541671
|
entity |
| Predicate | featuresArtist |
P1952
|
FINISHED |
| Object | Zion |
—
|
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: Zion | Statement: [Real Hasta la Muerte, featuresArtist, Zion]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zion Context triple: [Real Hasta la Muerte, featuresArtist, Zion]
-
A.
Zion
Zion is a biblical term referring primarily to Jerusalem and, more broadly, the historic Land of Israel, symbolizing the spiritual and national homeland of the Jewish people.
-
B.
Zion
chosen
Zion is a musical artist known for collaborating as a guest performer with other acts, including The Hip-Hop Violinist.
-
C.
Zion
Zion is the last human city deep underground in the Matrix franchise, serving as the central stronghold of humanity’s resistance against the machines.
-
D.
Zion
Zion is a given name commonly used as a first name for both males and females, often associated with spiritual or biblical connotations.
-
E.
Mount Zion
Mount Zion is a San Francisco medical campus and hospital complex associated with the University of California, San Francisco, known for providing specialized clinical care and research.
- 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_69e0c47e2e5c81909a7f74ce3de50911 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f124048fe48190987340d5a6945176 |
completed | April 28, 2026, 9:17 p.m. |
Created at: April 16, 2026, 7:52 p.m.