Triple
T4984824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valerian Street |
E111974
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Margaret Street
Margaret Street is an individual known primarily as the spouse of Valerian Street.
|
E848798
|
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: Margaret Street | Statement: [Valerian Street, spouse, Margaret Street]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Margaret Street Context triple: [Valerian Street, spouse, Margaret Street]
-
A.
Margaret Street
Margaret Street is a fictional character from Toni Morrison’s novel "Tar Baby," representing complex themes of race, identity, and cultural dislocation.
-
B.
Gerrard Street
Gerrard Street is the central thoroughfare of London’s Chinatown, known for its dense concentration of Chinese restaurants, supermarkets, and cultural landmarks.
-
C.
St Margaret Street
St Margaret Street is a central London road in the City of Westminster, running alongside the Palace of Westminster and Westminster Abbey at the heart of the UK’s parliamentary district.
-
D.
Oriel Street
Oriel Street is a historic street in central Oxford, England, closely associated with Oriel College and the university area.
-
E.
Magdalen Street
Magdalen Street is a central street in Oxford, England, known for its shops, historic buildings, and proximity to major city landmarks.
- 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: Margaret Street Triple: [Valerian Street, spouse, Margaret Street]
Generated description
Margaret Street is an individual known primarily as the spouse of Valerian Street.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Margaret Street Target entity description: Margaret Street is an individual known primarily as the spouse of Valerian Street.
-
A.
Margaret Street
Margaret Street is a fictional character from Toni Morrison’s novel "Tar Baby," representing complex themes of race, identity, and cultural dislocation.
-
B.
Gerrard Street
Gerrard Street is the central thoroughfare of London’s Chinatown, known for its dense concentration of Chinese restaurants, supermarkets, and cultural landmarks.
-
C.
St Margaret Street
St Margaret Street is a central London road in the City of Westminster, running alongside the Palace of Westminster and Westminster Abbey at the heart of the UK’s parliamentary district.
-
D.
Oriel Street
Oriel Street is a historic street in central Oxford, England, closely associated with Oriel College and the university area.
-
E.
Magdalen Street
Magdalen Street is a central street in Oxford, England, known for its shops, historic buildings, and proximity to major city landmarks.
- 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_69bd441adc208190b70a033a0741d01e |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd725766d88190b6fda860a005ce4e |
completed | March 20, 2026, 4:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d4d6c6d50c8190976d808e66d06d0f |
completed | April 7, 2026, 10:04 a.m. |
| NEDg | Description generation | batch_69d4d7f9a37081908d5f65ab16ee10b1 |
completed | April 7, 2026, 10:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d4d8b055cc8190991f9b6135ff4e86 |
completed | April 7, 2026, 10:13 a.m. |
Created at: March 20, 2026, 1:33 p.m.