Triple
T20083021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eglon |
E500049
|
entity |
| Predicate | killedBy |
P4646
|
FINISHED |
| Object | Ehud |
—
|
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: Ehud | Statement: [Eglon, killedBy, Ehud]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ehud Context triple: [Eglon, killedBy, Ehud]
-
A.
Ehud
chosen
Ehud is a biblical judge and deliverer of Israel known for assassinating the Moabite king Eglon in the Book of Judges.
-
B.
Shaul
Shaul is the Hebrew form of the name Saul, most famously associated with the first king of ancient Israel in the Hebrew Bible.
-
C.
Yehuda ben Ilai
Yehuda ben Ilai was a prominent 2nd-century Tannaic sage, a leading disciple of Rabbi Akiva, and one of the most frequently cited rabbis in the Mishnah and Talmud.
-
D.
Yigal Shiloh
Yigal Shiloh was an Israeli archaeologist best known for his influential excavations in Jerusalem and his contributions to the study of ancient Israelite urbanism and material culture.
-
E.
Bar Giora
Bar Giora is a small moshav (agricultural village) in the Judean Hills of Israel, known for its scenic surroundings and proximity to Jerusalem.
- 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_69da627770948190997f486f9a2e370f |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6655946f48190a6b4cb13ea4e212a |
completed | April 20, 2026, 5:41 p.m. |
Created at: April 11, 2026, 3:41 p.m.