Triple
T33954322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arkham Knight's militia |
E870523
|
entity |
| Predicate | supportsPlanOf |
P205259
|
FINISHED |
| Object | Scarecrow |
E225271
|
NE 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: Scarecrow | Statement: [Arkham Knight's militia, supportsPlanOf, Scarecrow]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsPlanOf Context triple: [Arkham Knight's militia, supportsPlanOf, Scarecrow]
-
A.
initiallySupportsPlan
Indicates that an entity expresses support for a plan at the beginning of a process, period, or scenario.
-
B.
supportsProgramOf
Indicates that one entity provides assistance, resources, or endorsement to help another entity’s program operate or succeed.
-
C.
supportsPolicy
Indicates that one entity endorses, backs, or is in favor of a particular policy or set of policies.
-
D.
hasPlan
Indicates that an entity possesses or is associated with a specific plan or course of action.
-
E.
supportsProject
Indicates that one entity provides assistance, resources, or endorsement to help another entity’s project succeed.
- F. None of above. chosen
Provenance (5 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_69f3499c2d7481909c953a5010227725 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a36b751114c81908fa8b2542392df1f |
completed | June 20, 2026, 3:52 p.m. |
| PD | Predicate disambiguation | batch_6a0379f963908190846d232f386fd98f |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c80ba448190853011097a151b7e |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 1:49 a.m.