Triple
T6641638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thug Life |
E150598
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object | Cradle to the Grave |
E142180
|
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: Cradle to the Grave | Statement: [Thug Life, notableSong, Cradle to the Grave]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cradle to the Grave Context triple: [Thug Life, notableSong, Cradle to the Grave]
-
A.
Cradle To Grave
Cradle to Grave is a British comedy-drama television series based on the teenage years of broadcaster Danny Baker in 1970s South London.
-
B.
Holy Terror
Holy Terror is a controversial graphic novel by Frank Miller, published by Legendary Comics, that follows a superhero-style vigilante battling Islamic terrorists.
-
C.
Mayhem
Mayhem is a professional ice hockey team based in Macon, Georgia, competing in the Southern Professional Hockey League.
-
D.
Cradle 2 the Grave
chosen
Cradle 2 the Grave is a 2003 action film starring DMX and Jet Li that blends martial arts, heist elements, and urban crime drama.
-
E.
The Cradle Will Fall
The Cradle Will Fall is a suspense novel by Mary Higgins Clark that follows a prosecutor who becomes entangled in a dangerous investigation after witnessing a suspicious incident in a hospital.
- 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_69c687f1a3048190828b7342f7125d5c |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6aff5da8881909a512c1c82eb882a |
completed | March 27, 2026, 4:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6eeef3f7481909929838858225f41 |
completed | March 27, 2026, 8:56 p.m. |
Created at: March 27, 2026, 2 p.m.