Triple
T28638355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charlton Comics |
E724851
|
entity |
| Predicate | successorForCharacters |
P194605
|
FINISHED |
| Object | DC Comics |
—
|
NE NERFINISHED |
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: DC Comics | Statement: [Charlton Comics, successorForCharacters, DC Comics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: successorForCharacters Context triple: [Charlton Comics, successorForCharacters, DC Comics]
-
A.
successorCharacter
Indicates that one character directly follows another in a sequence, such as in text, ordering, or narrative progression.
-
B.
successorDeterminedBy
Indicates that the identity of a successor is established or chosen according to a specified rule, process, or determining factor.
-
C.
successorFrom
Indicates that one entity directly follows or comes after another in an ordered sequence or progression.
-
D.
successorInText
Indicates that one text element directly follows another in the sequential order of a text.
-
E.
successorCollection
Indicates that one collection directly follows or comes after another collection in an ordered sequence.
- F. None of above. chosen
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_69f01d8328c48190bc0e5f9b9b848582 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69fd7e364a648190a1e9e1d9fc76e99e |
completed | May 8, 2026, 6:09 a.m. |
| PD | Predicate disambiguation | batch_69fd7bb547608190a3b04dddbca6b8bc |
completed | May 8, 2026, 5:59 a.m. |
| PDg | Predicate description generation | batch_69fd7e35967081909f8bc8389d976ffd |
completed | May 8, 2026, 6:09 a.m. |
Created at: April 28, 2026, 4:42 a.m.