Triple
T6339418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laura |
E142585
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Lora
Lora is a feminine given name, often considered a variant of Laura, used in various cultures.
|
E587351
|
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: Lora | Statement: [Laura, hasVariant, Lora]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lora Context triple: [Laura, hasVariant, Lora]
-
A.
Volacom
Volacom is a company founded by Tesla co-founder and battery technology pioneer JB Straubel, likely focused on advanced engineering and sustainable technology solutions.
-
B.
Tuya
Tuya was an influential queen of Egypt’s 19th Dynasty, best known as the wife of Seti I and the mother of Pharaoh Ramesses II.
-
C.
Sparx
Sparx is the loyal dragonfly companion and health indicator who follows Spyro throughout the Spyro the Dragon video game series.
-
D.
Telaria
Telaria was a video advertising and monetization technology company specializing in connected TV and premium video inventory.
-
E.
Skylink
Skylink is an automated people mover system that transports passengers between terminals at Dallas/Fort Worth International Airport.
- 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: Lora Triple: [Laura, hasVariant, Lora]
Generated description
Lora is a feminine given name, often considered a variant of Laura, used in various cultures.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lora Target entity description: Lora is a feminine given name, often considered a variant of Laura, used in various cultures.
-
A.
Volacom
Volacom is a company founded by Tesla co-founder and battery technology pioneer JB Straubel, likely focused on advanced engineering and sustainable technology solutions.
-
B.
Tuya
Tuya was an influential queen of Egypt’s 19th Dynasty, best known as the wife of Seti I and the mother of Pharaoh Ramesses II.
-
C.
Sparx
Sparx is the loyal dragonfly companion and health indicator who follows Spyro throughout the Spyro the Dragon video game series.
-
D.
Telaria
Telaria was a video advertising and monetization technology company specializing in connected TV and premium video inventory.
-
E.
Skylink
Skylink is an automated people mover system that transports passengers between terminals at Dallas/Fort Worth International Airport.
- 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_69c008d5ab108190b346c465696824a9 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0654fb774819087bffb8b966a790a |
completed | March 22, 2026, 9:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c604352f148190b5accc28462256ad |
completed | March 27, 2026, 4:14 a.m. |
| NEDg | Description generation | batch_69c620db73dc8190b9e75e0a9d01ff5a |
completed | March 27, 2026, 6:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c624e2b3c081908e5c05da38121631 |
completed | March 27, 2026, 6:34 a.m. |
Created at: March 22, 2026, 4:30 p.m.