Triple
T10465319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Songbook |
E246778
|
entity |
| Predicate | follows |
P134
|
FINISHED |
| Object | How to Be Good |
E246772
|
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: How to Be Good | Statement: [Songbook, follows, How to Be Good]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: How to Be Good Context triple: [Songbook, follows, How to Be Good]
-
A.
How to Be Good
chosen
How to Be Good is a comic novel by British author Nick Hornby that explores morality, marriage, and midlife crisis through the perspective of a disillusioned doctor.
-
B.
How Good We Can Be
"How Good We Can Be" is a political and economic analysis book by British writer Will Hutton that argues for a fairer, more socially just form of capitalism in the UK.
-
C.
Be Good
"Be Good" is a song performed by the character Beth Greene in the television series The Walking Dead.
-
D.
Be Good
"Be Good" is a critically acclaimed jazz and soul album by American singer-songwriter Gregory Porter, noted for its warm vocals, sophisticated songwriting, and emotional depth.
-
E.
Be Good to Yourself
"Be Good to Yourself" is a 1986 rock single by American band Journey, known for its uplifting lyrics and anthemic arena-rock sound.
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d50886c2a8819086da6c08356ec6bf |
completed | April 7, 2026, 1:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d89fe6129881908c658ff977e68135 |
completed | April 10, 2026, 6:59 a.m. |
Created at: April 6, 2026, 12:19 p.m.