Triple
T11695539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moshe Shertok |
E277984
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Sharett |
E265640
|
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: Sharett | Statement: [Moshe Shertok, familyName, Sharett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sharett Context triple: [Moshe Shertok, familyName, Sharett]
-
A.
Sharett
chosen
Sharett is a Hebrew surname most notably associated with Moshe Sharett, Israel’s second Prime Minister and a key early Zionist leader.
-
B.
Liberty Market
Liberty Market is a historic indoor food and retail market located in Dublin’s Liberties district, known for its diverse stalls and local character.
-
C.
Liberty Market
Liberty Market is a popular commercial and shopping area in Lahore, Pakistan, known for its wide range of clothing, jewelry, and food outlets.
-
D.
Outerbridge
Outerbridge is a surname most notably associated with Canadian actor Peter Outerbridge, known for his work in film and television.
-
E.
Borsa
Borsa is the nickname of Roger Borsa, a medieval Norman nobleman who ruled as Duke of Apulia in southern Italy.
- 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_69d6aafe02d881909900d54ad7d4af84 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a47cef60819088b7cc3a3a711e4c |
completed | April 10, 2026, 7:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef1471cba88190a7abdcbf4f579ea9 |
completed | April 27, 2026, 7:46 a.m. |
Created at: April 8, 2026, 9:40 p.m.