Triple
T25691872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Semi-Detached House |
E644220
|
entity |
| Predicate | hasWorkInSameDomain |
P173669
|
FINISHED |
| Object | The Semi-Attached Couple |
—
|
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: The Semi-Attached Couple | Statement: [The Semi-Detached House, hasWorkInSameDomain, The Semi-Attached Couple]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWorkInSameDomain Context triple: [The Semi-Detached House, hasWorkInSameDomain, The Semi-Attached Couple]
-
A.
sameWorkAs
Indicates that two entities perform or are associated with the same work, job, or professional role.
-
B.
hasWorkInSameSeries
Indicates that two works belong to and are part of the same series.
-
C.
hasTwinWork
Indicates that one work has a corresponding counterpart considered its twin, typically due to strong similarity, parallel creation, or intentional pairing.
-
D.
hasWorksIn
Indicates that one entity is employed by or performs their professional activities within the organization, location, or context represented by another entity.
-
E.
hasFamilyRelationInWork
Indicates that there exists a family relationship between two entities within the context of a specific work (e.g., book, film, or other creative work).
- F. None of above. chosen
Provenance (4 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_69e77e82c9bc8190893090b2f6c64f1d |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f6b9a84ff88190ab5a71f7ef1e0dac |
completed | May 3, 2026, 2:57 a.m. |
| PD | Predicate disambiguation | batch_69f6b626120c819097c9ad04487570d7 |
completed | May 3, 2026, 2:42 a.m. |
| PDg | Predicate description generation | batch_69f6b8fe147881908ba17483c7b13f05 |
completed | May 3, 2026, 2:54 a.m. |
Created at: April 21, 2026, 8:28 p.m.