Triple
T27250474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tess Nichols |
E687470
|
entity |
| Predicate | engagementComplicatesLoveLifeOf |
P58221
|
FINISHED |
| Object | Jane Nichols |
—
|
NE NERFINISHED |
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: Jane Nichols | Statement: [Tess Nichols, engagementComplicatesLoveLifeOf, Jane Nichols]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: engagementComplicatesLoveLifeOf Context triple: [Tess Nichols, engagementComplicatesLoveLifeOf, Jane Nichols]
-
A.
engagementOf
Indicates a relationship where an engagement, commitment, or formal involvement is associated with or attributed to a specific entity.
-
B.
engagementTo
Indicates a formal promise or commitment between two entities to enter into a future partnership or binding relationship.
-
C.
engaged
Indicates that two entities are formally committed to enter into a marriage or long-term partnership with each other.
-
D.
romanceObstructedBy
chosen
Indicates that a romantic relationship or potential romance is being hindered, blocked, or prevented by some opposing factor or circumstance.
-
E.
hasComplicatedRelationshipWith
Indicates that one entity is involved in a complex, often ambiguous or difficult-to-define interpersonal or relational dynamic with 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_69ef35567e808190a94458cd44ebff0c |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69f626b4e84c8190bab9109a20ce29f6 |
completed | May 2, 2026, 4:30 p.m. |
| PD | Predicate disambiguation | batch_69f623a91b9c8190b2e2fdbc55cb89b6 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 27, 2026, 10:45 a.m.