Triple
T3323259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Howard |
E69847
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Hackney |
E143459
|
NE FINISHED |
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: Hackney | Statement: [John Howard, placeOfBirth, Hackney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hackney Context triple: [John Howard, placeOfBirth, Hackney]
-
A.
Hammersmith
Hammersmith is a district in West London known as a major commercial and transport hub along the River Thames.
-
B.
Southwark
Southwark is a historic district in central London on the south bank of the River Thames, known for landmarks such as Borough Market, The Shard, and Shakespeare’s Globe.
-
C.
Islington
Islington is a vibrant inner London borough in England known for its dense urban character, cultural venues, and strong football heritage.
-
D.
London Borough of Hackney
chosen
The London Borough of Hackney is an inner London borough in East London known for its diverse communities, vibrant arts and nightlife scenes, and rapid urban regeneration.
-
E.
Shoreditch
Shoreditch is a vibrant East London district known for its creative industries, street art, nightlife, and tech startups.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ad85a1829881908942c14075644d0d |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb13e6c288190805f8abcd3acc906 |
completed | March 8, 2026, 5:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b57f070d6081909bc6ae1ce127c3d7 |
completed | March 14, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3:11 p.m.