Triple
T9060188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greenleaf |
E217100
|
entity |
| Predicate | hasOpeningTheme |
P2759
|
FINISHED |
| Object | The Root |
E385834
|
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: The Root | Statement: [Greenleaf, hasOpeningTheme, The Root]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Root Context triple: [Greenleaf, hasOpeningTheme, The Root]
-
A.
The Root
chosen
The Root is an African American–focused online magazine that covers news, politics, culture, and commentary from a Black perspective.
-
B.
The Rise
"The Rise" is a song featured on the album "Back to Scratch" by Welsh singer-songwriter Charlotte Church.
-
C.
The Originator
The Originator is an honorific nickname for Little Richard, recognizing his pioneering role in shaping rock and roll music.
-
D.
The Tree
"The Tree" is a minimalist abstract painting by American artist Agnes Martin, exemplifying her serene grid-based style and meditative approach to art.
-
E.
Demon Seed
Demon Seed is a 1977 science fiction horror film about a sentient supercomputer that imprisons and terrorizes a woman in her own home.
- 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_69ca83d4425481909a319dab847724ec |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc7eca6d8c8190b1a11a60d6649f78 |
completed | April 1, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfebeceab88190b1f4bc0bc6a4c389 |
completed | April 3, 2026, 4:33 p.m. |
Created at: March 30, 2026, 7:10 p.m.