Triple
T16378480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tombland |
E397737
|
entity |
| Predicate | follows |
P134
|
FINISHED |
| Object | Lamentation |
E397736
|
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: Lamentation | Statement: [Tombland, follows, Lamentation]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lamentation Context triple: [Tombland, follows, Lamentation]
-
A.
Lamentation
"Lamentation" is the deeply expressive third movement of Leonard Bernstein's Symphony No. 1 "Jeremiah," reflecting themes of sorrow and mourning inspired by the biblical Book of Lamentations.
-
B.
Lamentation
chosen
Lamentation is a historical crime novel by C.J. Sansom featuring lawyer-detective Matthew Shardlake, set in the turbulent final years of Henry VIII’s reign.
-
C.
Lamentation
Lamentation is a seminal 1930 modern dance solo choreographed and performed by Martha Graham, renowned for its stark emotional intensity and innovative use of costume and movement to embody grief.
-
D.
Lament
"Lament" is a track from the album *Voice of the Xtabay*, showcasing Yma Sumac’s dramatic vocal style and exotic orchestral arrangements.
-
E.
Lament
Lament is a sculptural work by artist Emilie Benes Brzezinski, known for her large-scale, emotionally resonant wood installations.
- 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_69d87f2880b48190ae1a9673a3bbef80 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e319d97e00819094aa094f52a5a93e |
completed | April 18, 2026, 5:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004f41703c81908fb040a9107045ae |
completed | May 10, 2026, 9:26 a.m. |
Created at: April 10, 2026, 5:08 a.m.