Triple
T16911826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norma Jennings |
E410214
|
entity |
| Predicate | hasComplicatedRomanticLife |
P98395
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Norma Jennings, hasComplicatedRomanticLife, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasComplicatedRomanticLife Context triple: [Norma Jennings, hasComplicatedRomanticLife, true]
-
A.
hasComplicatedRelationshipWith
Indicates that one entity is involved in a complex, often ambiguous or difficult-to-define interpersonal or relational dynamic with another entity.
-
B.
hasParallelLifeWith
Indicates that two entities lead or experience lives that run alongside each other in similar, corresponding, or contemporaneous ways without fully intersecting.
-
C.
hasLoveLifeCharacteristic
chosen
Indicates that an entity possesses a particular quality, status, or attribute related to its romantic or love life.
-
D.
hadPartner
Indicates that an entity was in a romantic or life-partner relationship with another entity at some point in time.
-
E.
hasMarriagePlot
Indicates that the work’s narrative centrally involves courtship, romantic relationships, or the progression toward marriage as a key plot element.
- 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_69d886c7b1e481908c3766dfa8c13458 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3ca3d6be88190bca5e1fdf727141b |
completed | April 18, 2026, 6:15 p.m. |
| PD | Predicate disambiguation | batch_69e32b9489408190bcb2ede567ff5bf9 |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:30 a.m.