Triple
T13541406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thackery Binx |
E323393
|
entity |
| Predicate | setting |
P1957
|
FINISHED |
| Object |
Salem
Salem is a historic New England city best known for its 17th-century witch trials and enduring association with witchcraft and the supernatural.
|
E506983
|
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: [Thackery Binx, setting, Salem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Salem Context triple: [Thackery Binx, setting, Salem]
-
A.
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.
-
B.
Salem
Salem is an ancient biblical city traditionally associated with Jerusalem and referenced in the Hebrew Scriptures as a place of divine presence and peace.
-
C.
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.
-
D.
Salem
Salem is a common Arabic male given name meaning "safe" or "peaceful," widely used across the Arab world.
-
E.
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.
- 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: [Thackery Binx, setting, Salem]
Generated description
Salem is a historic New England city best known for its 17th-century witch trials and enduring association with witchcraft and the supernatural.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Salem Target entity description: Salem is a historic New England city best known for its 17th-century witch trials and enduring association with witchcraft and the supernatural.
-
A.
Salem
chosen
Salem is a historic coastal city in Massachusetts best known for the 1692 witch trials and its well-preserved colonial architecture.
-
B.
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.
-
C.
Salem
Salem is an ancient biblical city traditionally associated with Jerusalem and referenced in the Hebrew Scriptures as a place of divine presence and peace.
-
D.
Salem
Salem is a supernatural horror television series that reimagines the infamous Salem witch trials with a dark, fictionalized narrative.
-
E.
Salem
Salem is the fictional Midwestern town that serves as the primary setting for the long-running American soap opera "Days of Our Lives."
- 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_69d8076776248190bdf0d4fa1f85a5fc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafd8ba10819098faadcc6adf251e |
completed | April 12, 2026, 2:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77f84935c8190b9e41f44140066e5 |
completed | May 3, 2026, 5:01 p.m. |
| NEDg | Description generation | batch_69f783e6f670819082fe29673a47ed1e |
completed | May 3, 2026, 5:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7849416b88190a0ef9d3e26e7b129 |
completed | May 3, 2026, 5:23 p.m. |
Created at: April 9, 2026, 9:45 p.m.