Triple
T3965375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flesh and Stone |
E92204
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | River Song |
E390240
|
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: River Song | Statement: [Flesh and Stone, featuresCharacter, River Song]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: River Song Context triple: [Flesh and Stone, featuresCharacter, River Song]
-
A.
River Song
chosen
River Song is a mysterious, time-traveling archaeologist and recurring companion of the Doctor in the British science fiction series Doctor Who.
-
B.
Into the Unknown
"Into the Unknown" is a powerful, Oscar-nominated anthem from Disney's Frozen II, performed by Idina Menzel, that explores Elsa’s call to adventure and inner conflict.
-
C.
Song of Seven
"Song of Seven" is a 1980 progressive rock solo album by Jon Anderson, blending spiritual themes with lush, melodic arrangements.
-
D.
Cavatina
Cavatina is a lyrical classical guitar piece by Stanley Myers, widely known as the haunting main theme from the film "The Deer Hunter."
-
E.
Cavatina
Cavatina is the deeply expressive, lyrical slow movement from Beethoven’s String Quartet No. 13 in B-flat major, Op. 130, renowned for its emotional intensity and poignancy.
- 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_69aed96624188190ac8c45bb57ab72b5 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef97520588190922e56201fc3ca52 |
completed | March 9, 2026, 4:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5400311bc81908379313e2d444557 |
completed | March 14, 2026, 11:01 a.m. |
Created at: March 9, 2026, 3:31 p.m.