Triple
T3095875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hall of Faith |
E64593
|
entity |
| Predicate | includesFigure |
P1393
|
FINISHED |
| Object | Barak |
E107162
|
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: Barak | Statement: [Hall of Faith, includesFigure, Barak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barak Context triple: [Hall of Faith, includesFigure, Barak]
-
A.
Barak
chosen
Barak is a biblical military leader in the Book of Judges who, alongside the prophetess Deborah, led Israel to victory over the Canaanite commander Sisera.
-
B.
Israel Beilin
Israel Beilin, better known as Irving Berlin, was a Russian-born American composer and lyricist who became one of the most prolific and influential songwriters in the history of popular music.
-
C.
Nitze
Nitze is a surname most prominently associated with Paul Nitze, an influential American diplomat and key architect of U.S. Cold War defense policy.
-
D.
Rubin
Rubin is a surname most famously associated with American astronomer Vera Rubin, whose work on galaxy rotation curves provided key evidence for the existence of dark matter.
-
E.
Meir
Meir is a Hebrew surname most famously borne by Golda Meir, the former Prime Minister of Israel.
- 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_69ad857dc98481909e585dc3372e3ed5 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada23b04188190919a69987d2c180f |
completed | March 8, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2037483fc8190b8343faa58fb9893 |
completed | March 12, 2026, 12:06 a.m. |
Created at: March 8, 2026, 3:03 p.m.