Triple
T35693181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Franklin Dow |
E1031358
|
entity |
| Predicate | roleInVirunga |
P203314
|
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: [Franklin Dow, roleInVirunga, cinematographer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInVirunga Context triple: [Franklin Dow, roleInVirunga, cinematographer]
-
A.
roleInExpedition
Indicates the specific function, duty, or position an entity holds within the context of a particular expedition.
-
B.
roleAtOutwild
Indicates that an entity holds or performs a specific role or position within the organization or context named Outwild.
-
C.
situatedInProtectedArea
Indicates that an entity is located within the boundaries of a designated protected area (such as a reserve, park, or conservation zone).
-
D.
roleInZootopia
Indicates that an entity has a specific role, function, or position within the context of Zootopia.
-
E.
roleInKuomboka
Indicates that an entity holds a specific role or function within the context of the Kuomboka ceremony or event.
- 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_69f76e0c73ec819080ab60a9e2f5f1f6 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a01531add1c8190b51add7bb046e2cb |
completed | May 11, 2026, 3:55 a.m. |
| PD | Predicate disambiguation | batch_6a014fef3d8c81909b509d51d0c4cdc7 |
completed | May 11, 2026, 3:41 a.m. |
| PDg | Predicate description generation | batch_6a01531a3a4c8190ac8cb040cc36e96b |
completed | May 11, 2026, 3:55 a.m. |
Created at: May 3, 2026, 4:05 p.m.