Triple
T9907806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danielle Balbuena |
E185058
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Morrow |
E185063
|
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: Morrow | Statement: [Danielle Balbuena, notableWork, Morrow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Morrow Context triple: [Danielle Balbuena, notableWork, Morrow]
-
A.
Morrow
chosen
"Morrow" is a 2018 introspective, genre-blending single by American artist 070 Shake, known for its emotional lyrics and atmospheric production.
-
B.
Morrow
Morrow is a surname of English origin borne by various notable individuals across politics, arts, and academia.
-
C.
Mordaunt
Mordaunt is a vengeful and fanatical antagonist in Alexandre Dumas’ d'Artagnan romances, known as the ruthless son of Milady de Winter who seeks to destroy the musketeers.
-
D.
Shriever
Shriever is a surname, a variant spelling of "Shriver," borne by various individuals of English-speaking origin.
-
E.
Marcross
Marcross is a small coastal village in the Vale of Glamorgan, Wales, known for its rural character and proximity to the Bristol Channel.
- 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_69ca8296165881908ca4750701af1f29 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb50ec61481908f42bd2aa55d9a6e |
completed | April 2, 2026, 12:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d20daabd5881908b02da50a640766a |
completed | April 5, 2026, 7:22 a.m. |
Created at: March 30, 2026, 8:41 p.m.