Triple
T3935854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eberhard |
E90908
|
entity |
| Predicate | hasShortForm |
P43
|
FINISHED |
| Object |
Ebi
Ebi is a short form of the German given name Eberhard, typically used as an affectionate nickname.
|
E398804
|
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: Ebi | Statement: [Eberhard, hasShortForm, Ebi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ebi Context triple: [Eberhard, hasShortForm, Ebi]
-
A.
Nori
Nori is a given name, often used as a short or affectionate form of longer names such as Nora.
-
B.
Niiname-sai
Niiname-sai is a traditional Shinto harvest festival in Japan during which the emperor offers newly harvested rice to the deities and partakes of it in a solemn thanksgiving rite.
-
C.
Ebisu
Ebisu is a fashionable Tokyo neighborhood known for its upscale dining, craft beer scene, and convenient access via Ebisu Station near Shibuya.
-
D.
Oshiage
Oshiage is a district in Sumida, Tokyo, best known as the location of the Tokyo Skytree and its surrounding commercial complex.
-
E.
Unami
Unami is a dialect of the Lenape (Delaware) language historically spoken by the Lenape people in parts of the mid-Atlantic region of North America.
- 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: Ebi Triple: [Eberhard, hasShortForm, Ebi]
Generated description
Ebi is a short form of the German given name Eberhard, typically used as an affectionate nickname.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ebi Target entity description: Ebi is a short form of the German given name Eberhard, typically used as an affectionate nickname.
-
A.
Nori
Nori is a given name, often used as a short or affectionate form of longer names such as Nora.
-
B.
Niiname-sai
Niiname-sai is a traditional Shinto harvest festival in Japan during which the emperor offers newly harvested rice to the deities and partakes of it in a solemn thanksgiving rite.
-
C.
Ebisu
Ebisu is a fashionable Tokyo neighborhood known for its upscale dining, craft beer scene, and convenient access via Ebisu Station near Shibuya.
-
D.
Oshiage
Oshiage is a district in Sumida, Tokyo, best known as the location of the Tokyo Skytree and its surrounding commercial complex.
-
E.
Unami
Unami is a dialect of the Lenape (Delaware) language historically spoken by the Lenape people in parts of the mid-Atlantic region of North America.
- 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_69aed95f26e0819094b0e71974543a19 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeedcd29148190a98e4549c9ed8888 |
completed | March 9, 2026, 3:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5288eb3e481909a68531fd37371a4 |
completed | March 14, 2026, 9:21 a.m. |
| NEDg | Description generation | batch_69b5297a08d08190a0150d71a795c66f |
completed | March 14, 2026, 9:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b529d7a5a88190aa0728778e8540c5 |
completed | March 14, 2026, 9:26 a.m. |
Created at: March 9, 2026, 3:23 p.m.