Triple
T3026466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dag Hammarskjöld |
E82586
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Dag |
E82586
|
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: Dag | Statement: [Dag Hammarskjöld, givenName, Dag]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dag Context triple: [Dag Hammarskjöld, givenName, Dag]
-
A.
Dag
chosen
Dag is a Scandinavian masculine given name, most famously borne by Swedish diplomat and second United Nations Secretary-General Dag Hammarskjöld.
-
B.
Düne
Düne is a small neighboring island of Helgoland in the North Sea, known for its sandy beaches, dunes, and seal colonies.
-
C.
Day
"Day" is a memoir by Elie Wiesel that continues his reflection on Holocaust survival and its psychological aftermath, following the events depicted in "Night."
-
D.
Day
Day is a common English surname borne by numerous notable individuals across politics, law, arts, and sports.
-
E.
Daylight
Daylight is a 1996 disaster thriller film starring Sylvester Stallone, centered on a group of survivors trapped in a collapsed tunnel beneath the Hudson River.
- 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_69ad8b1fb34081908c1b873e2b7273e1 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9abd85348190aba9e40658697665 |
completed | March 8, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1deb6dc8c8190a5714894b9ca24a1 |
completed | March 11, 2026, 9:29 p.m. |
Created at: March 8, 2026, 3 p.m.