Triple
T4895551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Florens |
E109667
|
entity |
| Predicate | romanticAttachment |
P7325
|
FINISHED |
| Object | the free Black blacksmith |
—
|
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: the free Black blacksmith | Statement: [Florens, romanticAttachment, the free Black blacksmith]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: romanticAttachment Context triple: [Florens, romanticAttachment, the free Black blacksmith]
-
A.
emotionallyAttachedTo
Indicates that one entity has a strong emotional bond, affection, or dependence directed toward another entity.
-
B.
romanticArc
Indicates a developing or ongoing romantic relationship or storyline between the involved entities.
-
C.
romanticReputation
Indicates how an entity is perceived or regarded by others in the context of romantic behavior, history, or involvement.
-
D.
hasRomanticTensionWith
Indicates a mutual or one-sided romantic attraction or unresolved romantic interest existing between two entities.
-
E.
loveInterest
chosen
Indicates that one entity is the romantic object of affection or attraction for another entity.
- 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_69bd4410bbf88190aad50d2451c863d6 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ffabccc81909115ece1b04e2061 |
completed | March 20, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69bd6c2e7b5c8190b8bf9d616dfa24f0 |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:28 p.m.