Triple
T13160196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Landscape at the Bois d’Amour |
E312703
|
entity |
| Predicate | also known as |
P39
|
FINISHED |
| Object | Le Talisman |
E312702
|
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: Le Talisman | Statement: [Landscape at the Bois d’Amour, also known as, Le Talisman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Le Talisman Context triple: [Landscape at the Bois d’Amour, also known as, Le Talisman]
-
A.
The Talisman
The Talisman is a historical novel by Sir Walter Scott set during the Crusades, focusing on the interactions between Richard the Lionheart and Saladin.
-
B.
The Talisman
chosen
The Talisman is a seminal 1888 landscape painting by Paul Sérusier that helped inspire the Nabis movement and marked a turning point toward modernist abstraction in French art.
-
C.
Talisman
Talisman is a Swedish hard rock band known for its melodic sound and the powerful vocals of frontman Jeff Scott Soto.
-
D.
Talismán
Talismán is a Mexico City Metro station on Line 4, named after a nearby avenue and known for its mammoth fossil displays discovered during its construction.
-
E.
The Amulet
The Amulet is a 1979 Southern Gothic horror novel by Michael McDowell, known for its dark atmosphere and escalating series of gruesome, small-town tragedies.
- 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_69d806ac3ee081909b2fd27d060aa974 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c0971008190869e9de710f4c579 |
completed | April 10, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f5df07ec8190be64ed80d7e220b7 |
completed | May 3, 2026, 7:14 a.m. |
Created at: April 9, 2026, 9:12 p.m.