Triple
T20993834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Union Corse |
E517092
|
entity |
| Predicate | relationshipToJamesBond |
P142397
|
FINISHED |
| Object | ally organization through Marc-Ange Draco |
—
|
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: ally organization through Marc-Ange Draco | Statement: [Union Corse, relationshipToJamesBond, ally organization through Marc-Ange Draco]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToJamesBond Context triple: [Union Corse, relationshipToJamesBond, ally organization through Marc-Ange Draco]
-
A.
associatedWithActorPlayingBond
Indicates that one entity has a relationship or connection with an actor who has played the character James Bond.
-
B.
typicalInteractionWithJamesBond
Indicates the characteristic or commonly occurring way in which an entity interacts or engages with James Bond.
-
C.
relationshipWithSherlock
Indicates that an entity has a specified type of personal or professional relationship with Sherlock.
-
D.
successorAsJamesBond
Indicates that one entity took over the role of portraying James Bond from another entity.
-
E.
relationshipToJackBrown
Indicates the specific familial, social, or professional relationship that an entity has to Jack Brown.
- F. None of above. chosen
Provenance (4 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_69e0b5006e2881909fc2383f841740cc |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc1e75188190a97114238ea0b4f9 |
completed | April 21, 2026, 4:25 a.m. |
| PD | Predicate disambiguation | batch_69e5dbec80708190a49bccab7ff97e7b |
completed | April 20, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69e5e2df1a888190b5b478e76bdf7fdf |
completed | April 20, 2026, 8:25 a.m. |
Created at: April 16, 2026, 1:50 p.m.