Triple
T20101216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Izabel |
E496543
|
entity |
| Predicate | hasDiminutive |
P456
|
FINISHED |
| Object |
Iza
Iza is a common diminutive form of the female given name Izabel (and similar names like Izabela or Izabella) used in various languages.
|
E1411696
|
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: Iza | Statement: [Izabel, hasDiminutive, Iza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iza Context triple: [Izabel, hasDiminutive, Iza]
-
A.
Eiza
Eiza is the first name of Mexican actress and singer Eiza González, known for her roles in films like "Baby Driver" and "Godzilla vs. Kong."
-
B.
Riza
Riza is a masculine given name commonly used in various cultures, often with roots in Arabic and Turkish languages.
-
C.
Laiza
Laiza is a town in northern Myanmar near the Chinese border that serves as the main stronghold and de facto capital of the Kachin Independence Organization.
-
D.
Geisa
Geisa is a small historic town in the state of Thuringia in central Germany, near the former inner-German border.
-
E.
Shizu
Shizu is the posthumous temple name by which Emperor Guangwu, the restorer and founding ruler of the Eastern Han dynasty in China, is venerated in ancestral rites.
- 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: Iza Triple: [Izabel, hasDiminutive, Iza]
Generated description
Iza is a common diminutive form of the female given name Izabel (and similar names like Izabela or Izabella) used in various languages.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Iza Target entity description: Iza is a common diminutive form of the female given name Izabel (and similar names like Izabela or Izabella) used in various languages.
-
A.
Eiza
Eiza is the first name of Mexican actress and singer Eiza González, known for her roles in films like "Baby Driver" and "Godzilla vs. Kong."
-
B.
Riza
Riza is a masculine given name commonly used in various cultures, often with roots in Arabic and Turkish languages.
-
C.
Laiza
Laiza is a town in northern Myanmar near the Chinese border that serves as the main stronghold and de facto capital of the Kachin Independence Organization.
-
D.
Geisa
Geisa is a small historic town in the state of Thuringia in central Germany, near the former inner-German border.
-
E.
Shizu
Shizu is the posthumous temple name by which Emperor Guangwu, the restorer and founding ruler of the Eastern Han dynasty in China, is venerated in ancestral rites.
- 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_69da626eee3881909f3454986d4a6511 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6666ff4008190ae1eec907c89bd3b |
completed | April 20, 2026, 5:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0827109f0081909747fb28dc439f77 |
completed | May 16, 2026, 8:13 a.m. |
| NEDg | Description generation | batch_6a0829a3a35881909505c9927563e646 |
completed | May 16, 2026, 8:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a082a26bff48190ab78612dfebc99d9 |
completed | May 16, 2026, 8:26 a.m. |
Created at: April 11, 2026, 11:26 p.m.