Triple
T11345430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alex Gansa |
E268699
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Wolf Lake
Wolf Lake is an American supernatural drama television series centered on a mysterious town of werewolves.
|
E1232006
|
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: Wolf Lake | Statement: [Alex Gansa, notableWork, Wolf Lake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wolf Lake Context triple: [Alex Gansa, notableWork, Wolf Lake]
-
A.
Simly Lake
Simly Lake is a major freshwater reservoir and popular recreational spot located in the Margalla Hills near Islamabad, Pakistan.
-
B.
Shimmer Lake
Shimmer Lake is a darkly comedic crime thriller film told in reverse chronology, following a small-town sheriff as he unravels a botched bank robbery.
-
C.
Esrum Lake
Esrum Lake is one of Denmark’s largest and deepest lakes, known for its scenic natural surroundings and recreational opportunities in North Zealand.
-
D.
Lynx Lake
Lynx Lake is a popular man-made reservoir and recreation area in the Prescott National Forest of Arizona, known for fishing, camping, and scenic hiking.
-
E.
James Lake
James Lake is a character known for appearing alongside Quentin, likely as a close associate or companion in the same narrative or production.
- 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: Wolf Lake Triple: [Alex Gansa, notableWork, Wolf Lake]
Generated description
Wolf Lake is an American supernatural drama television series centered on a mysterious town of werewolves.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wolf Lake Target entity description: Wolf Lake is an American supernatural drama television series centered on a mysterious town of werewolves.
-
A.
Simly Lake
Simly Lake is a major freshwater reservoir and popular recreational spot located in the Margalla Hills near Islamabad, Pakistan.
-
B.
Shimmer Lake
Shimmer Lake is a darkly comedic crime thriller film told in reverse chronology, following a small-town sheriff as he unravels a botched bank robbery.
-
C.
Esrum Lake
Esrum Lake is one of Denmark’s largest and deepest lakes, known for its scenic natural surroundings and recreational opportunities in North Zealand.
-
D.
Lynx Lake
Lynx Lake is a popular man-made reservoir and recreation area in the Prescott National Forest of Arizona, known for fishing, camping, and scenic hiking.
-
E.
James Lake
James Lake is a character known for appearing alongside Quentin, likely as a close associate or companion in the same narrative or production.
- 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_69d6aacbe18081909e5fadb50082dd96 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea1f9574819089760c5b5908f09e |
completed | April 9, 2026, 6:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a4fffa7c81909bcc833b44ddf66f |
completed | May 10, 2026, 3:32 p.m. |
| NEDg | Description generation | batch_6a00a5c4e934819088db49d81be154c3 |
completed | May 10, 2026, 3:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00a6b84d288190aeccb06745146b80 |
completed | May 10, 2026, 3:39 p.m. |
Created at: April 8, 2026, 9:33 p.m.