Triple
T6191463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cats |
E138399
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object | Memory |
E197235
|
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: Memory | Statement: [Cats, notableSong, Memory]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Memory Context triple: [Cats, notableSong, Memory]
-
A.
Memory
chosen
"Memory" is the iconic, emotionally charged ballad from the musical Cats, renowned for its powerful vocals and themes of nostalgia and longing.
-
B.
Memory
"Memory" is a symbolist painting by American artist Elihu Vedder, known for its evocative, allegorical depiction of remembrance and loss.
-
C.
Remember
"Remember" is a song by John Lennon from his 1970 solo album "John Lennon/Plastic Ono Band," known for its raw, confessional lyrics and minimalist rock arrangement.
-
D.
Remember
Remember is a feminine given name of English origin that was historically used in Puritan communities, often reflecting a virtue or religious sentiment.
-
E.
MEM
MEM is the three-letter IATA airport code for Memphis International Airport in Memphis, Tennessee.
- 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_69c008ab9b3081908a11b2c744838435 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0623ff0bc8190951512245a38f541 |
completed | March 22, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c16f0d5a2881908564442aca29b1ec |
completed | March 23, 2026, 4:49 p.m. |
Created at: March 22, 2026, 4:19 p.m.