Triple
T2880999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | In Our Time |
E59395
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | My Old Man |
E225667
|
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: My Old Man | Statement: [In Our Time, hasPart, My Old Man]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: My Old Man Context triple: [In Our Time, hasPart, My Old Man]
-
A.
My Old Man
chosen
"My Old Man" is a reflective folk song by Joni Mitchell from her 1971 album *Blue*, exploring themes of love, independence, and emotional vulnerability.
-
B.
Same Old Man
"Same Old Man" is a song by Joanna Newsom from her 2010 album *Have One on Me*, known for its intricate lyrics and distinctive harp-driven folk sound.
-
C.
My Man
"My Man" is a classic torch song most famously performed by Barbra Streisand in the 1968 musical film *Funny Girl*.
-
D.
My Man’s Gone Now
"My Man’s Gone Now" is a mournful aria from George Gershwin’s opera *Porgy and Bess*, sung by the character Serena as she laments her husband’s death.
-
E.
Grow Old With Me
Grow Old With Me is the original working title of Isaac Asimov’s science fiction novel "Pebble in the Sky."
- 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_69ab4ac739188190a112f42a5a69c951 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abe0296be081908070bd48fe4fc926 |
completed | March 7, 2026, 8:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b031633efc819088c2ea29eafaff0f |
completed | March 10, 2026, 2:57 p.m. |
Created at: March 6, 2026, 10:03 p.m.