Triple
T12005778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bridges to Babylon |
E285774
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Saint of Me |
E959464
|
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: Saint of Me | Statement: [Bridges to Babylon, hasPart, Saint of Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saint of Me Context triple: [Bridges to Babylon, hasPart, Saint of Me]
-
A.
Saint of Me
chosen
"Saint of Me" is a 1997 rock song by The Rolling Stones, notable for its reflective lyrics on faith and history and for being one of the standout tracks from their album *Bridges to Babylon*.
-
B.
Faith in Me
"Faith in Me" is a song by the American rock band Crosby, Stills, Nash & Young from their 1999 reunion album "Looking Forward."
-
C.
The Good in Me
"The Good in Me" is a song featured on the 2012 album *The Human Condition* by American rapper and producer Jon Bellion.
-
D.
The Love in Me
"The Love in Me" is a song featured on the Christian music album "Something About Faith."
-
E.
Dear Me
"Dear Me" is the witty and reflective autobiography of British actor, writer, and raconteur Peter Ustinov.
- 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_69d6ab45a368819084fce08bf0dc3705 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903c5cfc08190821e4b2940c51416 |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49d259f7c81908366e7d9e61a6c73 |
completed | May 1, 2026, 12:31 p.m. |
Created at: April 8, 2026, 9:46 p.m.