Triple
T7188989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Titles of Mary |
E167638
|
entity |
| Predicate | hasExample |
P1259
|
FINISHED |
| Object | Star of the Sea |
E6641
|
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: Star of the Sea | Statement: [Titles of Mary, hasExample, Star of the Sea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Star of the Sea Context triple: [Titles of Mary, hasExample, Star of the Sea]
-
A.
Star of the Sea
chosen
Star of the Sea is a traditional Marian title that invokes the Virgin Mary as a guiding and protective figure for Christians, especially sailors and travelers.
-
B.
House of the Sea
House of the Sea is a name typically given to coastal homes, hotels, or retreats that emphasize a close connection to the ocean and maritime surroundings.
-
C.
Like the Sea
"Like the Sea" is a soulful R&B ballad by Alicia Keys from her album "The Element of Freedom," noted for its serene, metaphor-rich lyrics and gentle, flowing melody.
-
D.
By the Sea
"By the Sea" is a novel by Nobel Prize–winning author Abdulrazak Gurnah that explores themes of exile, identity, and displacement through the intertwined stories of refugees from Zanzibar.
-
E.
By the Sea
"By the Sea" is a darkly comic, fantasy-tinged song from Stephen Sondheim’s musical *Sweeney Todd*, in which Mrs. Lovett imagines an idyllic seaside life with the murderous barber.
- 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_69c6888b5248819090499a884ee3ec39 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e8e3d9188190ba2792098d76fb86 |
completed | March 27, 2026, 8:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7b956ce048190b377dd62f5b5b173 |
completed | March 28, 2026, 11:19 a.m. |
Created at: March 27, 2026, 2:50 p.m.