Triple
T15451572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lyndall |
E371662
|
entity |
| Predicate | hasSpellingVariant |
P457
|
FINISHED |
| Object |
Lyndell
Lyndell is a given name, typically used as a variant spelling of Lyndall.
|
E1157260
|
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: Lyndell | Statement: [Lyndall, hasSpellingVariant, Lyndell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lyndell Context triple: [Lyndall, hasSpellingVariant, Lyndell]
-
A.
Tynaarlo
Tynaarlo is a municipality in the northeastern Netherlands known for its rural character and location between the cities of Groningen and Assen.
-
B.
Karalee
Karalee is a suburban locality within the Ipswich region of Queensland, Australia, known for its semi-rural residential character along the Brisbane River.
-
C.
Londa
Londa is a town in the Indian state of Karnataka that serves as an important railway junction and gateway to the Western Ghats.
-
D.
Avallon
Avallon is a historic commune in central France known for its medieval architecture and scenic location on a granite outcrop in the Burgundy region.
-
E.
Chaldoran
Chaldoran is a district in Iran’s West Azerbaijan Province, known for its historical significance and proximity to important religious and cultural sites.
- 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: Lyndell Triple: [Lyndall, hasSpellingVariant, Lyndell]
Generated description
Lyndell is a given name, typically used as a variant spelling of Lyndall.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lyndell Target entity description: Lyndell is a given name, typically used as a variant spelling of Lyndall.
-
A.
Tynaarlo
Tynaarlo is a municipality in the northeastern Netherlands known for its rural character and location between the cities of Groningen and Assen.
-
B.
Karalee
Karalee is a suburban locality within the Ipswich region of Queensland, Australia, known for its semi-rural residential character along the Brisbane River.
-
C.
Londa
Londa is a town in the Indian state of Karnataka that serves as an important railway junction and gateway to the Western Ghats.
-
D.
Avallon
Avallon is a historic commune in central France known for its medieval architecture and scenic location on a granite outcrop in the Burgundy region.
-
E.
Chaldoran
Chaldoran is a district in Iran’s West Azerbaijan Province, known for its historical significance and proximity to important religious and cultural sites.
- 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_69d85cc8bd308190886949510b42e764 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03efaf82c81908b464e37ce9c159a |
completed | April 16, 2026, 1:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff21b1e9688190a283dbc552072ce0 |
completed | May 9, 2026, 11:59 a.m. |
| NEDg | Description generation | batch_69ff22b9c980819093e05036ba21eaf0 |
completed | May 9, 2026, 12:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff2339ae808190bf2d4676215399c0 |
completed | May 9, 2026, 12:06 p.m. |
Created at: April 10, 2026, 3:30 a.m.