Triple
T34301098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Myra Monkhouse |
E880175
|
entity |
| Predicate | opposesRelationship |
P437
|
FINISHED |
| Object |
Laura Winslow and Steve Urkel
Laura Winslow and Steve Urkel are central characters in the sitcom "Family Matters," known for their long-running, comedic, and often one-sided romantic dynamic driven by Steve's obsessive love for Laura.
|
E2088959
|
NE FINISHED |
How this triple was built (3 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: Laura Winslow and Steve Urkel | Statement: [Myra Monkhouse, opposesRelationship, Laura Winslow and Steve Urkel]
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: Laura Winslow and Steve Urkel Triple: [Myra Monkhouse, opposesRelationship, Laura Winslow and Steve Urkel]
Generated description
Laura Winslow and Steve Urkel are central characters in the sitcom "Family Matters," known for their long-running, comedic, and often one-sided romantic dynamic driven by Steve's obsessive love for Laura.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: opposesRelationship Context triple: [Myra Monkhouse, opposesRelationship, Laura Winslow and Steve Urkel]
-
A.
opposedBy
chosen
Indicates that one entity actively resists, disagrees with, or works against the actions, views, or position of another entity.
-
B.
opposesClass
Indicates a relationship where one entity actively resists, challenges, or works against the interests, actions, or status of a particular social or economic class.
-
C.
opposesLabel
Indicates that one entity expresses disagreement with, resistance to, or active opposition against another entity or its position.
-
D.
isOppositionCounterpartOf
Indicates a relationship where one entity serves as the opposing or counterpart force, side, or position to another within a conflict, competition, or contrast.
-
E.
opposesIdentity
Indicates that one entity actively rejects, resists, or stands in opposition to the identity, self-conception, or defining characteristics of another entity.
- F. None of above.
Provenance (6 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_69f349b79f6c81909cb468c92c39c74d |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fd32848ea88190a71e6df402bbb30e |
completed | May 8, 2026, 12:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a36e639c6f88190914dd9c3353a8c78 |
completed | June 20, 2026, 7:12 p.m. |
| NEDg | Description generation | batch_6a36e88b54348190a0ad36fba1419573 |
completed | June 20, 2026, 7:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a36e93b7cb881909d879b68e26a2d0f |
completed | June 20, 2026, 7:25 p.m. |
| PD | Predicate disambiguation | batch_69fd2d7e95588190991d5f21e25155df |
completed | May 8, 2026, 12:25 a.m. |
Created at: May 1, 2026, 1:57 a.m.