Triple
T22123078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gravitas |
E546721
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Dear Old Friend |
—
|
NE NERFINISHED |
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: Dear Old Friend | Statement: [Gravitas, hasPart, Dear Old Friend]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dear Old Friend Context triple: [Gravitas, hasPart, Dear Old Friend]
-
A.
Dear Old Friend
chosen
"Dear Old Friend" is a musical number from Andrew Lloyd Webber’s stage sequel to The Phantom of the Opera, *Love Never Dies*.
-
B.
Old Friend
"Old Friend" is a song featured on the album "Album III," likely reflecting the record's overall musical style and themes.
-
C.
Old Friend
"Old Friend" is a punk rock song by Rancid from their influential 1995 album ...And Out Come the Wolves.
-
D.
Old Friends
Old Friends is a nonfiction book by Tracy Kidder that intimately chronicles the lives, friendship, and daily experiences of two elderly men in a nursing home.
-
E.
Old Friends
"Old Friends" is a song featured on the album "Everyday Life," known for its reflective tone and themes of memory and enduring relationships.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e39bf348190b541bfa16a7b71e0 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1297f3fb48190b6aaca18b40c37ab |
completed | April 28, 2026, 9:41 p.m. |
Created at: April 16, 2026, 8:31 p.m.