Triple
T13026903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Hollow Hope: Can Courts Bring About Social Change? |
E326330
|
entity |
| Predicate | disciplinaryApproach |
P20107
|
FINISHED |
| Object | empirical analysis |
—
|
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: empirical analysis | Statement: [The Hollow Hope: Can Courts Bring About Social Change?, disciplinaryApproach, empirical analysis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: disciplinaryApproach Context triple: [The Hollow Hope: Can Courts Bring About Social Change?, disciplinaryApproach, empirical analysis]
-
A.
disciplinaryMethod
Indicates a method or approach used to discipline, correct, or control another party’s behavior.
-
B.
isMultidisciplinary
Indicates that something involves or integrates multiple distinct academic or professional disciplines in its approach or composition.
-
C.
disciplinaryFocus
Indicates the primary academic or professional field, subject area, or discipline that something is centered on or concerned with.
-
D.
approaches
Indicates that one entity moves closer in position or state to another entity or reference point.
-
E.
academicApproach
chosen
Indicates an entity’s characteristic method, strategy, or style used in academic work, study, or instruction.
- 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_69d8076cc45c81908123123f43e69266 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97efc07488190a15f3e41ea2db45c |
completed | April 10, 2026, 10:51 p.m. |
| PD | Predicate disambiguation | batch_69d97dc39a0881908119c62e31bf6182 |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 8:53 p.m.