Triple
T19874199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gro Harlem Brundtland |
E477598
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Gro |
—
|
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: Gro | Statement: [Gro Harlem Brundtland, givenName, Gro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gro Context triple: [Gro Harlem Brundtland, givenName, Gro]
-
A.
Gro
chosen
Gro is the given name of Gro Harlem Brundtland, the Norwegian physician and politician who served three terms as Prime Minister of Norway and later led the World Health Organization.
-
B.
GU
GU is the two-letter ISO 3166 country code assigned to Guam, an unincorporated territory of the United States in the western Pacific Ocean.
-
C.
GU
GU is a United Kingdom postcode area covering Guildford and surrounding parts of Surrey and nearby counties.
-
D.
GU
GU is the station code used to identify Guadalupe station within the railway network.
-
E.
GU
GU is a Japanese casual fashion retail brand known for its affordable, trend-focused clothing and as a sister brand to Uniqlo under the Fast Retailing group.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e51e7d948190aedbcd6c30361c39 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e658d9ee108190a53cc6c8e115d0fa |
completed | April 20, 2026, 4:48 p.m. |
Created at: April 10, 2026, 1:51 p.m.