Triple
T17586993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robin's Reign |
E428346
|
entity |
| Predicate | sideBContains |
P15273
|
FINISHED |
| Object | Lord Bless All |
—
|
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: Lord Bless All | Statement: [Robin's Reign, sideBContains, Lord Bless All]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lord Bless All Context triple: [Robin's Reign, sideBContains, Lord Bless All]
-
A.
Lord Bless All
chosen
"Lord Bless All" is a song by Robin Gibb, featured on his 1969 solo album "Robin's Reign."
-
B.
The Blessings
The Blessings is a musical act associated with the Scottish record label and collective LuckyMe, known for its experimental, genre-blending electronic sound.
-
C.
Blessings
Blessings is a novel by American author Anna Quindlen that explores themes of family, redemption, and unexpected responsibility after an abandoned baby is discovered on a wealthy estate.
-
D.
Blessings
"Blessings" is a hip-hop single by Big Sean featuring Drake and Kanye West, known for its introspective lyrics about success, gratitude, and the pressures of fame.
-
E.
So Blessed
"So Blessed" is a song featured on the album "Emotions."
- 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_69d889e1030481909950e140c63255b9 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e469e41bf08190963848f1597b6e9f |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 5:51 a.m.