Triple
T9886145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peri Gilpin |
E180935
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object |
Medium
Medium is a supernatural drama television series centered on a woman who uses her psychic abilities to help solve crimes.
|
E827969
|
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: Medium | Statement: [Peri Gilpin, appearedIn, Medium]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Medium Context triple: [Peri Gilpin, appearedIn, Medium]
-
A.
Medium
Medium is an online publishing platform that allows writers and readers to share and discover long-form articles, essays, and stories across a wide range of topics.
-
B.
Middle
"Middle" is a 2015 melodic electronic dance track by French producer DJ Snake featuring vocals from Bipolar Sunshine.
-
C.
MID
MID is the stock ticker symbol for the S&P MidCap 400 Index, which tracks the performance of medium-sized U.S. companies.
-
D.
Sedang
Sedang is an Austroasiatic language of the Bahnaric branch spoken by the Sedang people in Vietnam’s Central Highlands.
-
E.
Medium Cool
Medium Cool is a 1969 American drama film directed by Haskell Wexler that blends fiction and documentary techniques to depict social and political unrest surrounding the 1968 Democratic National Convention in Chicago.
- 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: Medium Triple: [Peri Gilpin, appearedIn, Medium]
Generated description
Medium is a supernatural drama television series centered on a woman who uses her psychic abilities to help solve crimes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Medium Target entity description: Medium is a supernatural drama television series centered on a woman who uses her psychic abilities to help solve crimes.
-
A.
Medium
Medium is an online publishing platform that allows writers and readers to share and discover long-form articles, essays, and stories across a wide range of topics.
-
B.
Middle
"Middle" is a 2015 melodic electronic dance track by French producer DJ Snake featuring vocals from Bipolar Sunshine.
-
C.
MID
MID is the stock ticker symbol for the S&P MidCap 400 Index, which tracks the performance of medium-sized U.S. companies.
-
D.
Sedang
Sedang is an Austroasiatic language of the Bahnaric branch spoken by the Sedang people in Vietnam’s Central Highlands.
-
E.
Medium Cool
Medium Cool is a 1969 American drama film directed by Haskell Wexler that blends fiction and documentary techniques to depict social and political unrest surrounding the 1968 Democratic National Convention in Chicago.
- 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_69ca828082cc8190a40f8d299caa6545 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cdb45659748190a3ebd1abe23c8779 |
completed | April 2, 2026, 12:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1eafc76b0819098e481bb17a3af2b |
completed | April 5, 2026, 4:54 a.m. |
| NEDg | Description generation | batch_69d1ecfce8588190815876afc7ec85d4 |
completed | April 5, 2026, 5:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1ed99963881908dd14786a2e2e87f |
completed | April 5, 2026, 5:05 a.m. |
Created at: March 30, 2026, 8:38 p.m.