Triple
T5734948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Evan |
E126478
|
entity |
| Predicate | hasDiminutiveForm |
P456
|
FINISHED |
| Object |
Ev
Ev is a short, informal diminutive of the given name Evan, often used as a casual nickname.
|
E545115
|
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: Ev | Statement: [Evan, hasDiminutiveForm, Ev]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ev Context triple: [Evan, hasDiminutiveForm, Ev]
-
A.
Em
Em is a common shortened form of the given name Emma, often used as an informal nickname.
-
B.
Ent
Ent is a surname most notably associated with Uzal G. Ent, a senior officer in the United States Army Air Forces during World War II.
-
C.
VE
VE is the two-letter ISO 3166-1 alpha-2 country code assigned to Venezuela for international standardization and identification purposes.
-
D.
Er
Er is a minor biblical figure in the Book of Genesis, known as the firstborn son of Judah whose early death led to the levirate marriage of his widow Tamar.
-
E.
VEN
VEN is the three-letter ISO 3166-1 alpha-3 country code assigned to Venezuela for international identification and data standards.
- 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: Ev Triple: [Evan, hasDiminutiveForm, Ev]
Generated description
Ev is a short, informal diminutive of the given name Evan, often used as a casual nickname.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ev Target entity description: Ev is a short, informal diminutive of the given name Evan, often used as a casual nickname.
-
A.
Em
Em is a common shortened form of the given name Emma, often used as an informal nickname.
-
B.
Ent
Ent is a surname most notably associated with Uzal G. Ent, a senior officer in the United States Army Air Forces during World War II.
-
C.
VE
VE is the two-letter ISO 3166-1 alpha-2 country code assigned to Venezuela for international standardization and identification purposes.
-
D.
Er
Er is a minor biblical figure in the Book of Genesis, known as the firstborn son of Judah whose early death led to the levirate marriage of his widow Tamar.
-
E.
VEN
VEN is the three-letter ISO 3166-1 alpha-3 country code assigned to Venezuela for international identification and data standards.
- 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_69c0083082288190b7478cead6b5430a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02536706c8190a69665b75c8a38e9 |
completed | March 22, 2026, 5:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07e05a7e08190a79fb43aefdbea6b |
completed | March 22, 2026, 11:40 p.m. |
| NEDg | Description generation | batch_69c088cdb5c08190878addf57bd29fd5 |
completed | March 23, 2026, 12:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0899063ec8190bb24d9f0d317ffa6 |
completed | March 23, 2026, 12:30 a.m. |
Created at: March 22, 2026, 3:47 p.m.