Triple
T4823915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sir William Collyer |
E107774
|
entity |
| Predicate | emotionalDynamicWithHester |
P57237
|
FINISHED |
| Object | offers security but lacks passion |
—
|
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: offers security but lacks passion | Statement: [Sir William Collyer, emotionalDynamicWithHester, offers security but lacks passion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: emotionalDynamicWithHester Context triple: [Sir William Collyer, emotionalDynamicWithHester, offers security but lacks passion]
-
A.
relationshipToHesterPrynne
Indicates the specific familial, social, or emotional connection that an entity has to Hester Prynne.
-
B.
emotionalDynamic
chosen
Indicates how emotions, moods, or affective states change, interact, or influence each other between entities over time.
-
C.
relationshipToRogerChillingworth
Indicates the specific interpersonal connection or role that one entity has in relation to Roger Chillingworth.
-
D.
emotionEffect
Indicates that one entity’s emotional state causes or influences a change in another entity’s feelings, behavior, or condition.
-
E.
hasEnigmaticCharacter
Indicates that something possesses a mysterious, puzzling, or difficult-to-interpret quality or nature.
- F. None of above.
Provenance (3 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_69bd43f9efa081908314cb3e94fa1695 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ddd17d881909f7731ff2b460e83 |
completed | March 20, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69bd6c1fe130819087ae01309f96a0c8 |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:24 p.m.