Triple
T30057745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marshall James Strickland |
E763778
|
entity |
| Predicate | enforcesAgainst |
P113152
|
FINISHED |
| Object | outlaws in Hill Valley |
—
|
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: outlaws in Hill Valley | Statement: [Marshall James Strickland, enforcesAgainst, outlaws in Hill Valley]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: enforcesAgainst Context triple: [Marshall James Strickland, enforcesAgainst, outlaws in Hill Valley]
-
A.
enforcedOn
Indicates that a rule, policy, or constraint is applied with authority to a particular target or subject.
-
B.
alsoEnforcedBy
Indicates that the same rule, policy, or constraint is enforced by an additional authority, mechanism, or entity beyond the primary one.
-
C.
enablesEnforcementOf
Indicates that one entity provides the authority, means, or conditions necessary for another entity to carry out enforcement actions or apply rules.
-
D.
enforcesRule
chosen
Indicates that one entity compels or ensures that another entity follows or complies with a specified rule or set of rules.
-
E.
enforcementModel
Indicates the method or framework by which rules, policies, or constraints are applied, monitored, and enforced within a system or interaction.
- 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_69f224716378819087a722e487832b70 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67c9fe7b48190b79b4041357edb49 |
completed | May 2, 2026, 10:37 p.m. |
| PD | Predicate disambiguation | batch_69f675ff62c48190a634bbb8896973b9 |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 29, 2026, 6:57 p.m.