Triple
T1215642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hasidism |
E26100
|
entity |
| Predicate | hasMajorDynasty |
P25072
|
FINISHED |
| Object |
Ger
Ger is a prominent Hasidic dynasty, originating in Góra Kalwaria, Poland, known for its large following and significant influence within the Haredi Jewish world.
|
E139784
|
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: Ger | Statement: [Hasidism, hasMajorDynasty, Ger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ger Context triple: [Hasidism, hasMajorDynasty, Ger]
-
A.
GER
GER is the official FIFA country code used to represent the Germany national football team in international competitions and records.
-
B.
Guy
Guy is a masculine given name of French origin that has been widely used in English-speaking countries.
-
C.
Gil
Gil is a common Spanish surname borne by numerous individuals across various fields, including sports, arts, and public life.
-
D.
Gro
Gro is the given name of Gro Harlem Brundtland, the Norwegian physician and politician who served three terms as Prime Minister of Norway and later led the World Health Organization.
-
E.
Greg
Greg is a male given name commonly used in English-speaking countries, often as a short form of Gregory.
- 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: Ger Triple: [Hasidism, hasMajorDynasty, Ger]
Generated description
Ger is a prominent Hasidic dynasty, originating in Góra Kalwaria, Poland, known for its large following and significant influence within the Haredi Jewish world.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ger Target entity description: Ger is a prominent Hasidic dynasty, originating in Góra Kalwaria, Poland, known for its large following and significant influence within the Haredi Jewish world.
-
A.
GER
GER is the official FIFA country code used to represent the Germany national football team in international competitions and records.
-
B.
Guy
Guy is a masculine given name of French origin that has been widely used in English-speaking countries.
-
C.
Gil
Gil is a common Spanish surname borne by numerous individuals across various fields, including sports, arts, and public life.
-
D.
Gro
Gro is the given name of Gro Harlem Brundtland, the Norwegian physician and politician who served three terms as Prime Minister of Norway and later led the World Health Organization.
-
E.
Greg
Greg is a male given name commonly used in English-speaking countries, often as a short form of Gregory.
- 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_69a4948331fc8190b531ac9bec71c491 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bf169868819090cfab7e34c40c67 |
completed | March 1, 2026, 10:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac831fb6bc8190907f36e52489ec5c |
completed | March 7, 2026, 7:57 p.m. |
| NEDg | Description generation | batch_69ac838fc3d08190aa43d7f2767fe7d2 |
completed | March 7, 2026, 7:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac8425ab408190a25c0f5db40ae77f |
completed | March 7, 2026, 8:01 p.m. |
Created at: March 1, 2026, 7:46 p.m.