Triple
T16974845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Take Yo’ Praise |
E411783
|
entity |
| Predicate | includedInAlbum |
P1925
|
FINISHED |
| Object | The Iron Pot Cooker |
E1219726
|
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 Iron Pot Cooker | Statement: [Take Yo’ Praise, includedInAlbum, The Iron Pot Cooker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Iron Pot Cooker Context triple: [Take Yo’ Praise, includedInAlbum, The Iron Pot Cooker]
-
A.
The Iron Pot Cooker
chosen
The Iron Pot Cooker is a 1975 soul and spoken-word album by Camille Yarbrough that blends politically charged poetry, storytelling, and music to explore Black identity and social justice.
-
B.
Boiling Pot
Boiling Pot is a turbulent section of the Zambezi River below Victoria Falls, known for its powerful whirlpools and dramatic gorge scenery.
-
C.
Boiling Pot
Boiling Pot is a 2015 American drama film that explores racial tensions and prejudice on a college campus.
-
D.
Frying Pan
Frying Pan is a rural locality within the Snowy Monaro region of New South Wales, Australia.
-
E.
Ma Kettle
Ma Kettle is a comically rustic, good-natured farm wife character from the popular mid-20th-century "Ma and Pa Kettle" film series.
- 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_69d886ca8f348190812768ea8d5055ce |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d18300c8819080c8bf19962754ba |
completed | April 18, 2026, 6:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00d4738fbc819099e8281ebc777091 |
completed | May 10, 2026, 6:54 p.m. |
Created at: April 10, 2026, 5:31 a.m.