Triple
T14294384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alesha Dixon |
E354399
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Lightning Girl
Lightning Girl is a children's superhero novel series created by British singer and television personality Alesha Dixon.
|
E1091269
|
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: Lightning Girl | Statement: [Alesha Dixon, notableWork, Lightning Girl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lightning Girl Context triple: [Alesha Dixon, notableWork, Lightning Girl]
-
A.
Living Lightning
Living Lightning is a Marvel Comics superhero, also known as Miguel Santos, who can transform his body into electrical energy and has served on teams like the Avengers.
-
B.
Lightning
"Lightning" is a bestselling suspense novel by Dean Koontz that blends thriller, science fiction, and supernatural elements in a time-bending story of fate and protection.
-
C.
Lightning
Lightning is the blue winged horse mascot that represents the Middle Tennessee State University Blue Raiders athletic teams.
-
D.
Lightning
Lightning is the nickname of the Milton Keynes Lightning, a professional ice hockey team based in Milton Keynes, England.
-
E.
Lightning
Lightning is the athletic mascot representing Sage Hill School’s sports teams and school spirit.
- 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: Lightning Girl Triple: [Alesha Dixon, notableWork, Lightning Girl]
Generated description
Lightning Girl is a children's superhero novel series created by British singer and television personality Alesha Dixon.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lightning Girl Target entity description: Lightning Girl is a children's superhero novel series created by British singer and television personality Alesha Dixon.
-
A.
Living Lightning
Living Lightning is a Marvel Comics superhero, also known as Miguel Santos, who can transform his body into electrical energy and has served on teams like the Avengers.
-
B.
Lightning
"Lightning" is a bestselling suspense novel by Dean Koontz that blends thriller, science fiction, and supernatural elements in a time-bending story of fate and protection.
-
C.
Lightning
Lightning is the blue winged horse mascot that represents the Middle Tennessee State University Blue Raiders athletic teams.
-
D.
Lightning
Lightning is the nickname of the Milton Keynes Lightning, a professional ice hockey team based in Milton Keynes, England.
-
E.
Lightning
Lightning is the athletic mascot representing Sage Hill School’s sports teams and school spirit.
- 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_69d8278e17088190b328c5a9d4be74ff |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de717b35ec81908968994e65737c66 |
completed | April 14, 2026, 4:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3d2281d481909714f8d8cfe71514 |
completed | May 8, 2026, 1:32 a.m. |
| NEDg | Description generation | batch_69fd3ded77748190b35908e046ccce67 |
completed | May 8, 2026, 1:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd3e7425348190abf09c103cc17305 |
completed | May 8, 2026, 1:37 a.m. |
Created at: April 10, 2026, 1:11 a.m.