Triple
T9677731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | If These Walls Could Sing |
E234200
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Mark Monroe |
E813835
|
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: Mark Monroe | Statement: [If These Walls Could Sing, writer, Mark Monroe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Monroe Context triple: [If These Walls Could Sing, writer, Mark Monroe]
-
A.
Mark Monroe
chosen
Mark Monroe is a prominent documentary filmmaker and writer known for producing and scripting acclaimed music and culture-focused films.
-
B.
Cooke Maroney
Cooke Maroney is an American art gallery director known for his work in the contemporary art world and his marriage to actress Jennifer Lawrence.
-
C.
Maye
Maye is the first name of Maye Musk, a Canadian-South African model and dietitian known for her long-running fashion career and as the mother of entrepreneur Elon Musk.
-
D.
Lamorne Morris
Lamorne Morris is an American actor and comedian best known for playing Winston Bishop on the television sitcom "New Girl."
-
E.
Jerry Stackhouse
Jerry Stackhouse is a former NBA All-Star shooting guard and current basketball coach known for his prolific scoring and long professional career.
- 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_69ca84c99e34819092e5563a7106cfca |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9c9b01708190aaf51cf4d36015a0 |
completed | April 1, 2026, 10:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d190fd1ad48190980e7bc3245046dc |
completed | April 4, 2026, 10:30 p.m. |
Created at: March 30, 2026, 8:16 p.m.