Triple
T31709244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edward J. Pei |
E809269
|
entity |
| Predicate | roleInWhyDoFoolsFallInLove |
P201115
|
FINISHED |
| Object | cinematographer |
—
|
LITERAL 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: cinematographer | Statement: [Edward J. Pei, roleInWhyDoFoolsFallInLove, cinematographer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInWhyDoFoolsFallInLove Context triple: [Edward J. Pei, roleInWhyDoFoolsFallInLove, cinematographer]
-
A.
roleInLoveEtc
Indicates the specific part or function an entity plays within a romantic or affectionate relationship or situation.
-
B.
roleInRhyme
Indicates the specific function or part an entity plays within a rhyme, such as a character, object, or structural element of the rhyming text.
-
C.
roleInNappilyEverAfter
Indicates that an entity has a role or participation in the work "Nappily Ever After."
-
D.
roleInTheWay
Indicates that one entity is obstructing, hindering, or otherwise blocking another entity’s progress, action, or intended path.
-
E.
fellInLoveWith
Indicates that one entity developed romantic love or deep affectionate feelings toward another entity.
- F. None of above. chosen
Provenance (4 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_69f348df4e048190a4a5a9932ada78d6 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69ffc89596d08190b97bd60b45c7f9c0 |
completed | May 9, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69ffc81ba5dc8190ae94d44e2284948f |
completed | May 9, 2026, 11:49 p.m. |
| PDg | Predicate description generation | batch_69ffc894cef481908dae1d9cdc7d9d1f |
completed | May 9, 2026, 11:51 p.m. |
Created at: April 30, 2026, 11:15 p.m.