Triple
T17065682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stephen Lang |
E414080
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Salem
"Salem" is a supernatural horror television series starring Stephen Lang, loosely inspired by the Salem witch trials and focused on dark magic and political intrigue in a haunted colonial town.
|
E444348
|
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: Salem | Statement: [Stephen Lang, notableWork, Salem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Salem Context triple: [Stephen Lang, notableWork, Salem]
-
A.
Salem
Salem is a major city in the Indian state of Tamil Nadu, historically significant as an important administrative and commercial center under British rule.
-
B.
Salem
Salem is the fictional Midwestern town that serves as the primary setting for the long-running American soap opera "Days of Our Lives."
-
C.
Salem
Salem was the original name of the small town now known as Marshall in Fauquier County, Virginia.
-
D.
Salem
Salem is a small city in Utah County, Utah, known for its scenic pond, suburban character, and location within the Provo–Orem metropolitan area.
-
E.
Salem
Salem is a common Arabic male given name meaning "safe" or "peaceful," widely used across the Arab world.
- 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: Salem Triple: [Stephen Lang, notableWork, Salem]
Generated description
"Salem" is a supernatural horror television series starring Stephen Lang, loosely inspired by the Salem witch trials and focused on dark magic and political intrigue in a haunted colonial town.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Salem Target entity description: "Salem" is a supernatural horror television series starring Stephen Lang, loosely inspired by the Salem witch trials and focused on dark magic and political intrigue in a haunted colonial town.
-
A.
Salem
chosen
Salem is a supernatural horror television series that reimagines the infamous Salem witch trials with a dark, fictionalized narrative.
-
B.
Salem
Salem is the fictional Midwestern town that serves as the primary setting for the long-running American soap opera "Days of Our Lives."
-
C.
Salem
Salem is a historic coastal city in Massachusetts best known for the 1692 witch trials and its well-preserved colonial architecture.
-
D.
Salem
Salem is a mid-sized city in the Willamette Valley of the U.S. Pacific Northwest known for its government institutions and agricultural surroundings.
-
E.
Salem
Salem is a long-established American brand of menthol cigarettes produced by R.J. Reynolds.
- F. None of above.
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_69e3db806de48190a9ce68b40fc77a74 |
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.