Triple
T2995755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lawrence (Westworld) |
E81060
|
entity |
| Predicate | hasArc |
P44897
|
FINISHED |
| Object | growing recognition of his own suffering |
—
|
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: growing recognition of his own suffering | Statement: [Lawrence (Westworld), hasArc, growing recognition of his own suffering]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasArc Context triple: [Lawrence (Westworld), hasArc, growing recognition of his own suffering]
-
A.
hasJunctionWith
Indicates that one entity meets or intersects with another at a shared junction point.
-
B.
hasBridgeTo
Indicates that one entity is connected to another by a bridge or bridging structure that allows passage or linkage between them.
-
C.
hasJunctionIn
Indicates that one entity contains or includes a junction located within the spatial or structural extent of another entity.
-
D.
hasTrailConnection
Indicates that one location is connected to another by a traversable trail or path.
-
E.
hasNumberOfArches
Indicates the relationship specifying how many arches are present in or associated with a given 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_69ad8b187fc8819085914d3c9ea3142d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad99f481688190ae8cd1e057f9dfc7 |
completed | March 8, 2026, 3:47 p.m. |
| PD | Predicate disambiguation | batch_69ad9615fefc8190ad96da92519cb7a3 |
completed | March 8, 2026, 3:30 p.m. |
| PDg | Predicate description generation | batch_69ad97ba55dc8190b6dddddfb751cf64 |
completed | March 8, 2026, 3:37 p.m. |
Created at: March 8, 2026, 2:59 p.m.