Triple
T12319937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sam Lane |
E293699
|
entity |
| Predicate | viewOnSuperman |
P104444
|
FINISHED |
| Object | sees Superman as potential threat |
—
|
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: sees Superman as potential threat | Statement: [Sam Lane, viewOnSuperman, sees Superman as potential threat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewOnSuperman Context triple: [Sam Lane, viewOnSuperman, sees Superman as potential threat]
-
A.
viewOnSun
Indicates a relationship where an entity has a particular perspective, opinion, or stance regarding the sun.
-
B.
viewOnSin
Indicates a person's stance, opinion, or doctrinal position regarding what constitutes sin or sinful behavior.
-
C.
viewOnPaul
Indicates that an entity holds a particular opinion, perspective, or stance regarding Paul.
-
D.
viewOnEmpire
Indicates a perspective, opinion, or stance that an entity holds regarding an empire or imperial system.
-
E.
viewOnTony
Indicates that one entity holds a particular opinion, perspective, or viewpoint about Tony.
- 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f621570819091ee1db2609233ea |
completed | April 10, 2026, 6:20 p.m. |
| PD | Predicate disambiguation | batch_69d93ec5be788190b82d2edc6a0f1095 |
completed | April 10, 2026, 6:17 p.m. |
| PDg | Predicate description generation | batch_69d93f607a88819089e89fd263ae9937 |
completed | April 10, 2026, 6:20 p.m. |
Created at: April 8, 2026, 9:53 p.m.