Triple
T2957071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thelma |
E79956
|
entity |
| Predicate | hasVariantSpelling |
P457
|
FINISHED |
| Object |
Telma
Telma is a feminine given name, typically considered a variant spelling of Thelma.
|
E313506
|
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: Telma | Statement: [Thelma, hasVariantSpelling, Telma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Telma Context triple: [Thelma, hasVariantSpelling, Telma]
-
A.
Lillita
Lillita is the birth name of Lita Grey, the American actress best known for her early silent film work and marriage to Charlie Chaplin.
-
B.
Tamara
Tamara is a feminine given name of Hebrew origin, commonly used in various cultures and languages.
-
C.
Silvana
Silvana is a feminine given name used in various cultures, often associated with meanings related to forests or woods.
-
D.
Lela
Lela is a feminine given name used in various cultures, often as a variant of Leila or Layla.
-
E.
Teresa
Teresa is the religious name of Mother Teresa, the Catholic nun and missionary renowned for her charitable work with the poor in Kolkata, India.
- 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: Telma Triple: [Thelma, hasVariantSpelling, Telma]
Generated description
Telma is a feminine given name, typically considered a variant spelling of Thelma.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Telma Target entity description: Telma is a feminine given name, typically considered a variant spelling of Thelma.
-
A.
Lillita
Lillita is the birth name of Lita Grey, the American actress best known for her early silent film work and marriage to Charlie Chaplin.
-
B.
Tamara
Tamara is a feminine given name of Hebrew origin, commonly used in various cultures and languages.
-
C.
Silvana
Silvana is a feminine given name used in various cultures, often associated with meanings related to forests or woods.
-
D.
Lela
Lela is a feminine given name used in various cultures, often as a variant of Leila or Layla.
-
E.
Teresa
Teresa is the religious name of Mother Teresa, the Catholic nun and missionary renowned for her charitable work with the poor in Kolkata, India.
- 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_69ad8b1276588190a374a0b12e0f7bdf |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad992998f08190ac9428310983172e |
completed | March 8, 2026, 3:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0fc8a10848190b8eec482252eb76b |
completed | March 11, 2026, 5:24 a.m. |
| NEDg | Description generation | batch_69b0fd407bd08190b62788e8d1cdd205 |
completed | March 11, 2026, 5:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b0fd91541c8190a481b55eb9b0ac35 |
completed | March 11, 2026, 5:28 a.m. |
Created at: March 8, 2026, 2:57 p.m.