Triple
T12438771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Johnny Storm |
E297214
|
entity |
| Predicate | romanticRelationship |
P9994
|
FINISHED |
| Object |
Lyja
Lyja is a shape-shifting Skrull from Marvel Comics best known for her complex, on-and-off romantic involvement with the Human Torch, Johnny Storm.
|
E983979
|
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: Lyja | Statement: [Johnny Storm, romanticRelationship, Lyja]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lyja Context triple: [Johnny Storm, romanticRelationship, Lyja]
-
A.
Lija
Lija is a small, picturesque village in central Malta known for its traditional architecture, quiet residential character, and annual fireworks displays.
-
B.
Ylla
Ylla is a short story by Ray Bradbury, set on Mars and exploring the inner life and unfulfilled desires of a Martian woman.
-
C.
Lygia
Lygia is a feminine given name of Portuguese origin, notably borne by Brazilian artist Lygia Pape.
-
D.
Neilia
Neilia was an American educator best known as the first wife of Joe Biden, who tragically died in a car accident in 1972 along with their infant daughter.
-
E.
Lelylaan
Lelylaan is a transport hub and railway/metro station in Amsterdam’s Nieuw-West district, connecting metro, train, tram, and bus services.
- 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: Lyja Triple: [Johnny Storm, romanticRelationship, Lyja]
Generated description
Lyja is a shape-shifting Skrull from Marvel Comics best known for her complex, on-and-off romantic involvement with the Human Torch, Johnny Storm.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lyja Target entity description: Lyja is a shape-shifting Skrull from Marvel Comics best known for her complex, on-and-off romantic involvement with the Human Torch, Johnny Storm.
-
A.
Lija
Lija is a small, picturesque village in central Malta known for its traditional architecture, quiet residential character, and annual fireworks displays.
-
B.
Ylla
Ylla is a short story by Ray Bradbury, set on Mars and exploring the inner life and unfulfilled desires of a Martian woman.
-
C.
Lygia
Lygia is a feminine given name of Portuguese origin, notably borne by Brazilian artist Lygia Pape.
-
D.
Neilia
Neilia was an American educator best known as the first wife of Joe Biden, who tragically died in a car accident in 1972 along with their infant daughter.
-
E.
Lelylaan
Lelylaan is a transport hub and railway/metro station in Amsterdam’s Nieuw-West district, connecting metro, train, tram, and bus services.
- 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_69d6ada166c48190b902972cd2408fa3 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d8dc0f881908a3da736d8947ce1 |
completed | April 10, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f0911a08190ba84a20950762e68 |
completed | May 2, 2026, 6:14 p.m. |
| NEDg | Description generation | batch_69f640ef7dd08190bf78d04cffac1a44 |
completed | May 2, 2026, 6:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f641abe114819093d99a327f2220c2 |
completed | May 2, 2026, 6:25 p.m. |
Created at: April 8, 2026, 9:55 p.m.