Triple
T35843454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DC Comics television series |
E1036147
|
entity |
| Predicate | typicalNetwork |
P98788
|
FINISHED |
| Object | The CW |
E46510
|
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: The CW | Statement: [DC Comics television series, typicalNetwork, The CW]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalNetwork Context triple: [DC Comics television series, typicalNetwork, The CW]
-
A.
typicalNetTransport
Indicates the usual or most common means by which something is transported or carried from one place to another.
-
B.
netWork
Indicates a relationship where entities are connected or interact within a shared system, structure, or set of links that enables communication or exchange.
-
C.
typicalInfrastructure
chosen
Indicates that something is part of the standard or commonly expected infrastructure associated with a given context or entity.
-
D.
inNetwork
Indicates that one entity is within the same defined network, system, or coverage group as another entity, such that network-based interactions or benefits apply between them.
-
E.
basedOnNetwork
Indicates that something is determined, derived, or operates according to a particular network or network-related characteristics.
- F. None of above.
Provenance (4 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_69f76e1a29e8819088280f26096aeb55 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037ce70f54819082946dad8d380825 |
completed | May 12, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a389c2513fc819095ce8c19aa44b9fc |
completed | June 22, 2026, 2:21 a.m. |
| PD | Predicate disambiguation | batch_6a037a069e6c8190857b611fffb7b867 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:06 p.m.