Triple
T36043646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dark Shadows Theme |
E1042608
|
entity |
| Predicate | workLocationOfSeries |
P31674
|
FINISHED |
| Object | Collinwood (fictional setting) |
—
|
NE NERFINISHED |
How this triple was built (2 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: Collinwood (fictional setting) | Statement: [Dark Shadows Theme, workLocationOfSeries, Collinwood (fictional setting)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workLocationOfSeries Context triple: [Dark Shadows Theme, workLocationOfSeries, Collinwood (fictional setting)]
-
A.
seriesLocation
chosen
Indicates that one entity is the place or venue where a series (such as events, performances, or installments) takes place.
-
B.
commissionedWorkLocation
Indicates the place where a commissioned work is created, produced, or carried out.
-
C.
locationInWork
Indicates that one entity specifies the place or setting where another entity occurs, is situated, or takes place within a particular work (e.g., a scene’s location in a film or a chapter’s setting in a book).
-
D.
workLocationOfAuthors
Indicates the place where the authors carry out their work or are professionally based.
-
E.
depictsWorkLocation
Indicates that one entity visually represents the place where another entity performs its work or professional activities.
- F. None of above.
Provenance (3 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_69f76e2e41f8819091f9fb0536920fec |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7b2c771108190adeec151daad5dab |
completed | May 3, 2026, 8:40 p.m. |
| PD | Predicate disambiguation | batch_69f7b1bad2e88190963ab4ee5d4f2038 |
completed | May 3, 2026, 8:36 p.m. |
Created at: May 3, 2026, 4:07 p.m.