Triple
T10034575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert A. Heinlein |
E204931
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Grow Old With Me |
E204932
|
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: Grow Old With Me | Statement: [Robert A. Heinlein, notableWork, Grow Old With Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grow Old With Me Context triple: [Robert A. Heinlein, notableWork, Grow Old With Me]
-
A.
Grow Old With Me
chosen
Grow Old With Me is the original working title of Isaac Asimov’s science fiction novel "Pebble in the Sky."
-
B.
Grow Old With You
"Grow Old With You" is a romantic ballad performed by Adam Sandler in the film *The Wedding Singer*, known for its sweet, humorous lyrics about lifelong love.
-
C.
My Old Man
"My Old Man" is a reflective folk song by Joni Mitchell from her 1971 album *Blue*, exploring themes of love, independence, and emotional vulnerability.
-
D.
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.
-
E.
Old & In the Way
Old & In the Way was a 1970s American bluegrass supergroup known for popularizing progressive bluegrass through its virtuosic playing and influential live recordings.
- 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_69ca834d77188190ad645e33e8ca3200 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdce4a515c8190baec86d924623b12 |
completed | April 2, 2026, 2:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2b60256b48190829cfdbff0105cc0 |
completed | April 5, 2026, 7:20 p.m. |
Created at: March 30, 2026, 8:54 p.m.