Triple
T14018188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emerson |
E337254
|
entity |
| Predicate | hasVariantForm |
P457
|
FINISHED |
| Object | Emmerson |
E583804
|
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: Emmerson | Statement: [Emerson, hasVariantForm, Emmerson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emmerson Context triple: [Emerson, hasVariantForm, Emmerson]
-
A.
Emmerson
chosen
Emmerson is a masculine given name most prominently associated with Zimbabwean politician Emmerson Mnangagwa, the country's president.
-
B.
The Hayes
The Hayes is a prominent pedestrianised shopping street and public thoroughfare in the centre of Cardiff, Wales.
-
C.
Andrew Morgan
Andrew Morgan is a filmmaker best known for directing the documentary "The True Cost," which examines the global impact of the fast fashion industry.
-
D.
Martin Hawke
Martin Hawke is a person notable enough to be recognized as a prominent bearer of the surname Hawke.
-
E.
Gladstone
Gladstone is a coastal city and industrial port in central Queensland, Australia, known for its major shipping facilities and heavy industry.
- 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2f3b5b088190a58715779d2c46a6 |
completed | April 14, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbacad948c81909db7187da5a9b97d |
completed | May 6, 2026, 9:03 p.m. |
Created at: April 9, 2026, 10:19 p.m.