Triple
T28622188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bond family (fictional) |
E724413
|
entity |
| Predicate | includesMarriageBetween |
P155873
|
FINISHED |
| Object | James Bond and Teresa "Tracy" Bond |
—
|
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: James Bond and Teresa "Tracy" Bond | Statement: [Bond family (fictional), includesMarriageBetween, James Bond and Teresa "Tracy" Bond]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesMarriageBetween Context triple: [Bond family (fictional), includesMarriageBetween, James Bond and Teresa "Tracy" Bond]
-
A.
supportsMarriageBetween
Indicates that one entity endorses or is in favor of a marital union between the specified parties.
-
B.
marriageRestriction
Indicates a legal or social limitation on who or under what conditions individuals are allowed to marry.
-
C.
followsMarriageTo
Indicates that one event, state, or relationship occurs after and as a consequence of a marriage taking place.
-
D.
involvesMarriage
chosen
Indicates that the relationship or action includes or is characterized by a marriage between the involved entities.
-
E.
regardsMarriageAs
Indicates that one entity holds a particular view, attitude, or evaluative stance toward the institution or concept of marriage.
- 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_69f01d822ac08190932de59ec2268ed2 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69ff234f32888190a1d800a3bda432eb |
completed | May 9, 2026, 12:06 p.m. |
| PD | Predicate disambiguation | batch_69ff228ae9a0819083f4b97c10b923f4 |
completed | May 9, 2026, 12:03 p.m. |
Created at: April 28, 2026, 4:34 a.m.