Triple
T18552121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cassiopeia |
E453402
|
entity |
| Predicate | containsStar |
P1393
|
FINISHED |
| Object |
Segin
Segin is a bright star in the constellation Cassiopeia, forming part of its distinctive "W"-shaped asterism in the northern sky.
|
E1330057
|
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: Segin | Statement: [Cassiopeia, containsStar, Segin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Segin Context triple: [Cassiopeia, containsStar, Segin]
-
A.
Seg-El
Seg-El is the protagonist of the TV series "Krypton," a young Kryptonian and grandfather of Superman who fights to restore his family's honor and save his planet's future.
-
B.
Senyavin
Senyavin is a Russian surname most notably associated with a family of naval officers and admirals in the Imperial Russian Navy.
-
C.
Sepetiba
Sepetiba is a coastal neighborhood in Rio de Janeiro known for its bay, fishing activities, and industrial port area.
-
D.
Sesekinika
Sesekinika is a small rural community located in the Timiskaming District of northeastern Ontario, Canada.
-
E.
Ségala
Ségala is a rural region in southern France known for its hilly landscapes, cereal cultivation, and traditional agricultural villages.
- 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: Segin Triple: [Cassiopeia, containsStar, Segin]
Generated description
Segin is a bright star in the constellation Cassiopeia, forming part of its distinctive "W"-shaped asterism in the northern sky.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Segin Target entity description: Segin is a bright star in the constellation Cassiopeia, forming part of its distinctive "W"-shaped asterism in the northern sky.
-
A.
Seg-El
Seg-El is the protagonist of the TV series "Krypton," a young Kryptonian and grandfather of Superman who fights to restore his family's honor and save his planet's future.
-
B.
Senyavin
Senyavin is a Russian surname most notably associated with a family of naval officers and admirals in the Imperial Russian Navy.
-
C.
Sepetiba
Sepetiba is a coastal neighborhood in Rio de Janeiro known for its bay, fishing activities, and industrial port area.
-
D.
Sesekinika
Sesekinika is a small rural community located in the Timiskaming District of northeastern Ontario, Canada.
-
E.
Ségala
Ségala is a rural region in southern France known for its hilly landscapes, cereal cultivation, and traditional agricultural villages.
- 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_69d8d388b0c881908e610a1c45b52640 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e538019a74819099dbd255fb21fa95 |
completed | April 19, 2026, 8:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a049adfedf4819094904078d0707fec |
completed | May 13, 2026, 3:38 p.m. |
| NEDg | Description generation | batch_6a049c355cb08190a63addeba8293e5c |
completed | May 13, 2026, 3:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a049cfa32588190a6e4abf128aced0a |
completed | May 13, 2026, 3:47 p.m. |
Created at: April 10, 2026, 11:38 a.m.