Triple
T656982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steven Spielberg |
E11668
|
entity |
| Predicate | directed |
P7373
|
FINISHED |
| Object | Lincoln |
E268
|
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: Lincoln | Statement: [Steven Spielberg, directed, Lincoln]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lincoln Context triple: [Steven Spielberg, directed, Lincoln]
-
A.
Lincoln
Lincoln is a suburban town in eastern Massachusetts known for its conservation land, historic sites, and commuter access to Boston.
-
B.
Lincoln
Lincoln is a luxury automobile marque of the Ford Motor Company known for its premium sedans and SUVs.
-
C.
Lincoln
Lincoln is a historic cathedral city in the East Midlands of England, renowned for its medieval architecture, including Lincoln Cathedral and Lincoln Castle.
-
D.
Abraham Lincoln
chosen
Abraham Lincoln was the 16th president of the United States, best known for leading the country through the Civil War and issuing the Emancipation Proclamation that began the process of ending slavery.
-
E.
Ulysses S. Grant
Ulysses S. Grant was the 18th president of the United States and a former Union Civil War general whose administration marked the early years of the Gilded Age.
- 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_69a4932862a0819098be659c814e4981 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49f4e87408190b5276d2b913d0426 |
completed | March 1, 2026, 8:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac4279b23c8190854732f4d6d5d6cd |
completed | March 7, 2026, 3:21 p.m. |
Created at: March 1, 2026, 7:36 p.m.