Triple
T3139637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zack de la Rocha |
E65612
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Zacharias |
E105856
|
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: Zacharias | Statement: [Zack de la Rocha, givenName, Zacharias]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zacharias Context triple: [Zack de la Rocha, givenName, Zacharias]
-
A.
Zechariah
chosen
Zechariah is a biblical priest and the father of John the Baptist, featured prominently in the Gospel infancy narratives for his prophetic role and encounter with the angel Gabriel.
-
B.
Simeon
Simeon is a biblical figure, one of the twelve sons of Jacob and a progenitor of one of the tribes of Israel.
-
C.
Bethuel
Bethuel is a biblical figure from the Book of Genesis, known as the father of Laban and Rebekah and a descendant of Abraham’s family line.
-
D.
Isaac
Isaac is a masculine given name of Hebrew origin, traditionally interpreted to mean "he will laugh" or "laughter."
-
E.
Isaac
Isaac is an artificial lifeform and science officer from the Kaylon race in the science fiction television series "The Orville."
- 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_69ad8582f564819088c27e1f96153938 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada57743e08190a1069c62e32f1bd4 |
completed | March 8, 2026, 4:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b261f805b0819089bf8a94c331faf1 |
completed | March 12, 2026, 6:49 a.m. |
Created at: March 8, 2026, 3:05 p.m.