Triple
T17910242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greg Universe |
E447800
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object | Dear Old Dad |
E504384
|
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: Dear Old Dad | Statement: [Greg Universe, notableSong, Dear Old Dad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dear Old Dad Context triple: [Greg Universe, notableSong, Dear Old Dad]
-
A.
Dear Ol’ Dad
chosen
"Dear Ol’ Dad" is a song featured on the compilation album Classic Masters.
-
B.
Old Man’s
Old Man’s is a popular, mellow surf break at San Onofre State Beach in Southern California, known for its long, gentle waves and laid-back atmosphere.
-
C.
The Old Man and Mr. Smith
The Old Man and Mr. Smith is a satirical novel by Peter Ustinov that follows God and the Devil visiting modern Earth to observe and meddle in human affairs.
-
D.
The Old Lady
The Old Lady is a recurring comic character from Fontaine Fox’s early 20th-century newspaper strip "Toonerville Folks," known for embodying the quaint, humorous charm of small-town life.
-
E.
The Old People
"The Old People" is a short story by William Faulkner that forms part of his collection *Go Down, Moses*, exploring themes of heritage, race, and the Southern wilderness through a young boy’s hunting experiences.
- 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49e9f4f888190840c8b55672becf8 |
completed | April 19, 2026, 9:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a031b3037b0819092e1212feb73e29d |
completed | May 12, 2026, 12:21 p.m. |
Created at: April 10, 2026, 10:19 a.m.