Triple
T17063785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siler family |
E414028
|
entity |
| Predicate | hasVariantSurname |
P16885
|
FINISHED |
| Object |
Syler
Syler is a variant surname of the Siler family name, typically of German or Swiss-German origin.
|
E1248723
|
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: Syler | Statement: [Siler family, hasVariantSurname, Syler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Syler Context triple: [Siler family, hasVariantSurname, Syler]
-
A.
Skyler
Skyler is the given first name of the American rapper and lyricist known professionally as Skyzoo.
-
B.
Skyler
Skyler is a central character from the television series "Breaking Bad," known as Walter White's wife who becomes increasingly entangled in his criminal activities.
-
C.
Sawyer Valentini
Sawyer Valentini is the troubled young woman at the center of the psychological horror film "Unsane," whose involuntary commitment to a mental institution blurs the line between paranoia and reality.
-
D.
Skyler Samuels
Skyler Samuels is an American actress known for her roles in television series such as Scream Queens and The Gifted.
-
E.
Skyler Stone
Skyler Stone is an American actor and comedian known for his roles in television series such as Raising Hope and for his stand-up comedy work.
- 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: Syler Triple: [Siler family, hasVariantSurname, Syler]
Generated description
Syler is a variant surname of the Siler family name, typically of German or Swiss-German origin.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Syler Target entity description: Syler is a variant surname of the Siler family name, typically of German or Swiss-German origin.
-
A.
Skyler
Skyler is a central character from the television series "Breaking Bad," known as Walter White's wife who becomes increasingly entangled in his criminal activities.
-
B.
Skyler
Skyler is the given first name of the American rapper and lyricist known professionally as Skyzoo.
-
C.
Sawyer Valentini
Sawyer Valentini is the troubled young woman at the center of the psychological horror film "Unsane," whose involuntary commitment to a mental institution blurs the line between paranoia and reality.
-
D.
Skyler Samuels
Skyler Samuels is an American actress known for her roles in television series such as Scream Queens and The Gifted.
-
E.
Skyler Stone
Skyler Stone is an American actor and comedian known for his roles in television series such as Raising Hope and for his stand-up comedy work.
- 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_69d886cde3d481908d4d01ba88ba7eb7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3db7f6a6081909bebce3ce925e663 |
completed | April 18, 2026, 7:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01234e9a94819094618ba43b7d22b4 |
completed | May 11, 2026, 12:31 a.m. |
| NEDg | Description generation | batch_6a01245aa7ec81909fa20befa29f590c |
completed | May 11, 2026, 12:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01281c8bf08190a24d77fe6af595f4 |
completed | May 11, 2026, 12:51 a.m. |
Created at: April 10, 2026, 5:34 a.m.