Triple
T20952629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucia Bosè |
E516014
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Harem |
—
|
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: Harem | Statement: [Lucia Bosè, notableWork, Harem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harem Context triple: [Lucia Bosè, notableWork, Harem]
-
A.
Harem
"Harem" is a song by the American rock band War from their album "War & Leisure."
-
B.
Harem
chosen
Harem is a 2003 studio album by English soprano Sarah Brightman that blends classical crossover with Middle Eastern and world music influences.
-
C.
Harem
Harem is a historic town in northwestern Syria near the Turkish border, known for its ancient citadel and strategic location in Idlib Governorate.
-
D.
The Harem
The Harem is an orientalist painting by 19th-century French academic artist Gustave Boulanger depicting an idealized, exoticized scene of women in a secluded domestic interior.
-
E.
Harem Conspiracy
The Harem Conspiracy was a plot in ancient Egypt, led by members of Pharaoh Ramesses III’s household, to assassinate the king and alter the royal succession.
- 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_69e0b4fcd678819087a304291f14330a |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fadf85f88190924d3919b9e665e4 |
completed | April 21, 2026, 4:19 a.m. |
Created at: April 16, 2026, 1:27 p.m.