Triple
T10026600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Todd Black |
E200743
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Dope (2015 film) |
E237583
|
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: Dope (2015 film) | Statement: [Todd Black, notableWork, Dope (2015 film)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dope (2015 film) Context triple: [Todd Black, notableWork, Dope (2015 film)]
-
A.
Dope
chosen
Dope is a 2015 coming-of-age comedy-drama film that follows a geeky teenager navigating life in a tough Los Angeles neighborhood after a chance encounter with the underground drug world.
-
B.
Dope
"Dope" is a song by Canadian singer-songwriter Jessie Reyez that showcases her raw, emotional vocal style and confessional lyricism.
-
C.
Dope
"Dope" is a hip-hop single by rapper Legend, showcasing his style and lyrical approach within the genre.
-
D.
Blindspotting (film)
Blindspotting is a 2018 American comedy-drama film that blends sharp social commentary on race and gentrification in Oakland with spoken-word poetry and humor.
-
E.
Straight Outta Compton
Straight Outta Compton is a 2015 biographical drama film that chronicles the rise and impact of the pioneering gangsta rap group N.W.A.
- 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_69ca831c45f08190ac1505cc15076608 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cdcde3c1b88190924e6158f406b453 |
completed | April 2, 2026, 2:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d26ac2f14081908deaf3945491af78 |
completed | April 5, 2026, 1:59 p.m. |
Created at: March 30, 2026, 8:54 p.m.