Triple
T9677734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | If These Walls Could Sing |
E234200
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Sam Rice-Edwards
Sam Rice-Edwards is a film editor known for his work on the documentary "If These Walls Could Sing."
|
E813836
|
NE FINISHED |
How this triple was built (4 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: Sam Rice-Edwards | Statement: [If These Walls Could Sing, editedBy, Sam Rice-Edwards]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sam Rice-Edwards Context triple: [If These Walls Could Sing, editedBy, Sam Rice-Edwards]
-
A.
Stan Rice
Stan Rice was an American poet, painter, and longtime creative writing professor best known for his poetry collections and for being married to novelist Anne Rice.
-
B.
Benjamin Rice
Benjamin Rice is a music producer known for his work on contemporary pop and soundtrack recordings.
-
C.
Johnathan Rice
Johnathan Rice is an American singer-songwriter and musician known for his solo work and for collaborating with Jenny Lewis in the indie rock duo Jenny and Johnny.
-
D.
Jack Bicknell
Jack Bicknell is an American football coach best known for leading Boston College to national prominence in the 1980s, including the famed Doug Flutie era and the 1984 Cotton Bowl victory.
-
E.
Charlie Smith
Charlie Smith is a fictional protagonist featured as the central character in a narrative work.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sam Rice-Edwards Triple: [If These Walls Could Sing, editedBy, Sam Rice-Edwards]
Generated description
Sam Rice-Edwards is a film editor known for his work on the documentary "If These Walls Could Sing."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sam Rice-Edwards Target entity description: Sam Rice-Edwards is a film editor known for his work on the documentary "If These Walls Could Sing."
-
A.
Stan Rice
Stan Rice was an American poet, painter, and longtime creative writing professor best known for his poetry collections and for being married to novelist Anne Rice.
-
B.
Benjamin Rice
Benjamin Rice is a music producer known for his work on contemporary pop and soundtrack recordings.
-
C.
Johnathan Rice
Johnathan Rice is an American singer-songwriter and musician known for his solo work and for collaborating with Jenny Lewis in the indie rock duo Jenny and Johnny.
-
D.
Jack Bicknell
Jack Bicknell is an American football coach best known for leading Boston College to national prominence in the 1980s, including the famed Doug Flutie era and the 1984 Cotton Bowl victory.
-
E.
Charlie Smith
Charlie Smith is a fictional protagonist featured as the central character in a narrative work.
- F. None of above. chosen
Provenance (5 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_69d18a34adec8190a4a260d029e408aa |
completed | April 4, 2026, 10:01 p.m. |
| NEDg | Description generation | batch_69d18aa1e9a48190bf26da5482fd0770 |
completed | April 4, 2026, 10:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d18b6a2fb0819092ee274310721b50 |
completed | April 4, 2026, 10:06 p.m. |
Created at: March 30, 2026, 8:16 p.m.