Triple
T19813174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gerard de Ridefort |
E475995
|
entity |
| Predicate | historicalRegion |
P915
|
FINISHED |
| Object | Outremer |
—
|
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: Outremer | Statement: [Gerard de Ridefort, historicalRegion, Outremer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Outremer Context triple: [Gerard de Ridefort, historicalRegion, Outremer]
-
A.
Outremer
chosen
Outremer was the collective name for the Crusader states established by Western European Christians in the Levant during the Middle Ages.
-
B.
The Seas
The Seas is an ocean-themed pavilion and aquarium attraction at EPCOT in Walt Disney World, featuring marine life exhibits and the Finding Nemo franchise.
-
C.
The Sea
The Sea is a 1946 novel by French author Henri Bosco that explores themes of childhood, imagination, and the mysterious power of nature along the Mediterranean coast.
-
D.
The Sea
"The Sea" is a lyrical poem by Russian Romantic poet Vasily Zhukovsky that meditates on the beauty, mystery, and emotional power of the ocean.
-
E.
The Sea
The Sea is a painting by British artist L. S. Lowry, known for its minimalist seascape composition and characteristic muted palette.
- 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_69d8e51bc4208190a1c57d8c5d1b15e4 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6542d7c048190818359cbf430f50e |
completed | April 20, 2026, 4:28 p.m. |
Created at: April 10, 2026, 1:50 p.m.