Triple
T19742294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Red Line |
E474155
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Aliyah Royale |
—
|
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: Aliyah Royale | Statement: [The Red Line, stars, Aliyah Royale]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aliyah Royale Context triple: [The Red Line, stars, Aliyah Royale]
-
A.
Aliyah Royale
chosen
Aliyah Royale is an American actress best known for her leading role in the television series "The Walking Dead: World Beyond."
-
B.
Aliyah
Aliyah is a feminine given name of Hebrew origin meaning "ascent" or "rising," commonly used in Jewish and broader communities.
-
C.
Aliyah Bet
Aliyah Bet was the clandestine, often illegal immigration of Jewish refugees to Mandatory Palestine before the establishment of Israel, organized in defiance of British restrictions.
-
D.
Hatzerim
Hatzerim is a kibbutz in Israel’s Negev desert, known for its nearby Israeli Air Force base and the Israel Air Force Museum.
-
E.
Ganei Tikva
Ganei Tikva is a small suburban town in central Israel known for its residential character and proximity to Tel Aviv.
- 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_69d8e51940a0819087bd2996f98da668 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65162382081909bd5a251d7da7f75 |
completed | April 20, 2026, 4:16 p.m. |
Created at: April 10, 2026, 1:47 p.m.