Triple
T11871824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silver Surfer |
E282423
|
entity |
| Predicate | homePlanet |
P16439
|
FINISHED |
| Object |
Zenn-La
Zenn-La is a highly advanced, utopian alien world in Marvel Comics, best known as the peaceful home planet of the Silver Surfer.
|
E950549
|
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: Zenn-La | Statement: [Silver Surfer, homePlanet, Zenn-La]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zenn-La Context triple: [Silver Surfer, homePlanet, Zenn-La]
-
A.
Zenn
Zenn is a river in Bavaria, Germany, that flows through the Franconian region before joining the Regnitz.
-
B.
Zempin
Zempin is a small seaside resort village on the island of Usedom in northeastern Germany, known for its Baltic Sea beaches and tranquil coastal setting.
-
C.
Zezuru
Zezuru is a major dialect of the Shona language spoken primarily in central and northern Zimbabwe.
-
D.
Zu
Zu is a central character in Alexandra Bracken's dystopian young adult series "The Darkest Minds," known for her powerful abilities and quiet resilience within a group of superpowered teens on the run.
-
E.
Shinasha
Shinasha is a North Omotic language spoken by the Shinasha people of western Ethiopia.
- 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: Zenn-La Triple: [Silver Surfer, homePlanet, Zenn-La]
Generated description
Zenn-La is a highly advanced, utopian alien world in Marvel Comics, best known as the peaceful home planet of the Silver Surfer.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zenn-La Target entity description: Zenn-La is a highly advanced, utopian alien world in Marvel Comics, best known as the peaceful home planet of the Silver Surfer.
-
A.
Zenn
Zenn is a river in Bavaria, Germany, that flows through the Franconian region before joining the Regnitz.
-
B.
Zempin
Zempin is a small seaside resort village on the island of Usedom in northeastern Germany, known for its Baltic Sea beaches and tranquil coastal setting.
-
C.
Zezuru
Zezuru is a major dialect of the Shona language spoken primarily in central and northern Zimbabwe.
-
D.
Zu
Zu is a central character in Alexandra Bracken's dystopian young adult series "The Darkest Minds," known for her powerful abilities and quiet resilience within a group of superpowered teens on the run.
-
E.
Shinasha
Shinasha is a North Omotic language spoken by the Shinasha people of western Ethiopia.
- 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_69d6ab2945d081908a5851c916cbcfb5 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8be18b7d48190b7fb1c3a67a891ed |
completed | April 10, 2026, 9:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f281b0969c8190a8c0a01ca292cc84 |
completed | April 29, 2026, 10:09 p.m. |
| NEDg | Description generation | batch_69f28a9378348190866e38259cc9467e |
completed | April 29, 2026, 10:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f28c5f7638819098aa93aa1610ca0a |
completed | April 29, 2026, 10:55 p.m. |
Created at: April 8, 2026, 9:43 p.m.