Triple
T31145052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rescue of Indiana Jones and Marion Ravenwood |
E793898
|
entity |
| Predicate | contributesToArcOf |
P52847
|
FINISHED |
| Object | Indiana Jones |
—
|
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: Indiana Jones | Statement: [Rescue of Indiana Jones and Marion Ravenwood, contributesToArcOf, Indiana Jones]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: contributesToArcOf Context triple: [Rescue of Indiana Jones and Marion Ravenwood, contributesToArcOf, Indiana Jones]
-
A.
contributeTo
Indicates that one entity provides support, resources, or effort that helps bring about, enhance, or maintain another entity, outcome, or state.
-
B.
tributeTo
Indicates that one entity is created, given, or dedicated as a mark of respect, admiration, or honor toward another entity.
-
C.
hasContributionFrom
Indicates that something (such as a work, project, or outcome) is created, influenced, or supported in part by a specified contributor.
-
D.
consideredPartOf
chosen
Indicates that one entity is regarded or treated as a component, segment, or subset of another entity within a larger whole.
-
E.
contributesToNameOf
Indicates that one entity plays a role in forming, influencing, or helping to determine the name of 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_69f224d2b3a48190aa9dd26fbf6eab1a |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fd974d75e08190af46b1d608769f3b |
completed | May 8, 2026, 7:57 a.m. |
| PD | Predicate disambiguation | batch_69fd94ff792c8190bedf4a639d3da809 |
completed | May 8, 2026, 7:47 a.m. |
Created at: April 29, 2026, 9:06 p.m.