Triple
T8640184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Justice League cameo in The Flash (DCEU) |
E204624
|
entity |
| Predicate | showsRelationship |
P83409
|
FINISHED |
| Object | Batman mentoring Barry Allen |
—
|
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: Batman mentoring Barry Allen | Statement: [Justice League cameo in The Flash (DCEU), showsRelationship, Batman mentoring Barry Allen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: showsRelationship Context triple: [Justice League cameo in The Flash (DCEU), showsRelationship, Batman mentoring Barry Allen]
-
A.
showsRelationshipWith
chosen
Indicates that one entity visually or explicitly presents or demonstrates its connection or association with another entity.
-
B.
portraysRelationship
Indicates that one entity depicts, represents, or illustrates a relationship between other entities.
-
C.
reportsRelationship
Indicates that one entity formally provides information, findings, or status about another entity or situation.
-
D.
inRelationshipWith
Indicates that two entities are mutually involved in a defined personal, romantic, or partnership relationship with each other.
-
E.
exploresRelationship
Indicates that one entity actively investigates, examines, or probes the nature, dynamics, or implications of its relationship with 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_69ca834ca1c88190a11ffb0200342fac |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc47944d1c819081f448f14d04bf9d |
completed | March 31, 2026, 10:15 p.m. |
| PD | Predicate disambiguation | batch_69cc455d6d448190a2da2a319ac78c37 |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:28 p.m.