Triple
T15620336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orna Berry |
E375534
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Orna
Orna is a feminine given name commonly used in Hebrew-speaking communities.
|
E1168677
|
NE FINISHED |
How this triple was built (4 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: Orna | Statement: [Orna Berry, givenName, Orna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orna Context triple: [Orna Berry, givenName, Orna]
-
A.
Shoham
Shoham is a modern, affluent commuter town in central Israel, located near Tel Aviv and known for its high quality of life and family-oriented residential character.
-
B.
Yibna
Yibna is a historic Palestinian town in the coastal plain of central Israel, known for its ancient roots and depopulation during the 1948 Arab–Israeli War.
-
C.
Migdal Oz
Migdal Oz is an Israeli settlement and religious kibbutz located in the Gush Etzion region of the West Bank.
-
D.
Efrat
Efrat is an Israeli settlement in the Gush Etzion bloc in the West Bank, known for its predominantly religious Zionist community and suburban character.
-
E.
Holon
Holon is a city in central Israel, part of the Tel Aviv metropolitan area, known for its cultural institutions, museums, and diverse communities.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Orna Triple: [Orna Berry, givenName, Orna]
Generated description
Orna is a feminine given name commonly used in Hebrew-speaking communities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Orna Target entity description: Orna is a feminine given name commonly used in Hebrew-speaking communities.
-
A.
Shoham
Shoham is a modern, affluent commuter town in central Israel, located near Tel Aviv and known for its high quality of life and family-oriented residential character.
-
B.
Yibna
Yibna is a historic Palestinian town in the coastal plain of central Israel, known for its ancient roots and depopulation during the 1948 Arab–Israeli War.
-
C.
Migdal Oz
Migdal Oz is an Israeli settlement and religious kibbutz located in the Gush Etzion region of the West Bank.
-
D.
Efrat
Efrat is an Israeli settlement in the Gush Etzion bloc in the West Bank, known for its predominantly religious Zionist community and suburban character.
-
E.
Holon
Holon is a city in central Israel, part of the Tel Aviv metropolitan area, known for its cultural institutions, museums, and diverse communities.
- F. None of above. chosen
Provenance (5 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_69d85ccf2794819096cda4cbcb02d478 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e9a95f08190b0013ba1428849d3 |
completed | April 16, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff5f3b643c819093230df6cfe440b9 |
completed | May 9, 2026, 4:22 p.m. |
| NEDg | Description generation | batch_69ff5fea7cb48190a1acb9201a12fa32 |
completed | May 9, 2026, 4:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff62e84bec81908a4885bf7f8f3749 |
completed | May 9, 2026, 4:38 p.m. |
Created at: April 10, 2026, 4:13 a.m.