Triple
T10115697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Logan |
E218350
|
entity |
| Predicate | hasVariantSpelling |
P457
|
FINISHED |
| Object |
Logen
Logen is an alternative spelling of the given name Logan, commonly used as a masculine first name.
|
E842454
|
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: Logen | Statement: [Logan, hasVariantSpelling, Logen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Logen Context triple: [Logan, hasVariantSpelling, Logen]
-
A.
Logainne
Logainne is a young, politically aware and lisping contestant in the musical "The 25th Annual Putnam County Spelling Bee."
-
B.
Rhages
Rhages is an ancient city of Media, near modern Tehran in Iran, known from classical and biblical sources as an important regional center.
-
C.
Nelion
Nelion is one of the main twin summits of Mount Kenya, renowned among climbers for its challenging rock routes and high-altitude alpine terrain.
-
D.
Ahlden
Ahlden is a small municipality in Lower Saxony, Germany, historically known for the long confinement and death of Sophia Dorothea of Celle.
-
E.
Senlin
Senlin is an OpenStack service that provides clustering and orchestration of homogeneous cloud resources for scalability and high availability.
- 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: Logen Triple: [Logan, hasVariantSpelling, Logen]
Generated description
Logen is an alternative spelling of the given name Logan, commonly used as a masculine first name.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Logen Target entity description: Logen is an alternative spelling of the given name Logan, commonly used as a masculine first name.
-
A.
Logainne
Logainne is a young, politically aware and lisping contestant in the musical "The 25th Annual Putnam County Spelling Bee."
-
B.
Rhages
Rhages is an ancient city of Media, near modern Tehran in Iran, known from classical and biblical sources as an important regional center.
-
C.
Nelion
Nelion is one of the main twin summits of Mount Kenya, renowned among climbers for its challenging rock routes and high-altitude alpine terrain.
-
D.
Ahlden
Ahlden is a small municipality in Lower Saxony, Germany, historically known for the long confinement and death of Sophia Dorothea of Celle.
-
E.
Senlin
Senlin is an OpenStack service that provides clustering and orchestration of homogeneous cloud resources for scalability and high availability.
- 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_69ca83da93fc8190b54e44bc2b34857c |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cdd161831c81908bb3c77caa7c3ce1 |
completed | April 2, 2026, 2:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2cc2b00488190acca51a797beed45 |
completed | April 5, 2026, 8:55 p.m. |
| NEDg | Description generation | batch_69d2cda6452c81908d67ea322da3cf70 |
completed | April 5, 2026, 9:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d2ce6da82081908ca6b3621971ca9a |
completed | April 5, 2026, 9:04 p.m. |
Created at: March 30, 2026, 9:04 p.m.