Triple
T28638326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charlton Comics |
E724851
|
entity |
| Predicate | titlesLaterAcquiredBy |
P22682
|
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, titlesLaterAcquiredBy, DC Comics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titlesLaterAcquiredBy Context triple: [Charlton Comics, titlesLaterAcquiredBy, DC Comics]
-
A.
titleAcquiredBy
Indicates that a particular title, rank, or designation has been obtained or earned by a specific entity.
-
B.
laterAcquiredBy
chosen
Indicates that one entity was acquired by another entity at a later point in time, after some prior state or ownership.
-
C.
laterAcquiredThrough
Indicates that one entity came to possess or obtain another entity at a subsequent time specifically by means of a particular acquisition method or process.
-
D.
brandAfterAcquisition
Indicates that one brand exists or is used as the brand identity following the acquisition of another entity.
-
E.
couldBeAcquiredBy
Indicates that one entity is a potential target to be obtained, bought, or taken over by 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_69f01d8328c48190bc0e5f9b9b848582 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69fd35d108908190b79b1e8e6bbd62aa |
completed | May 8, 2026, 1:01 a.m. |
| PD | Predicate disambiguation | batch_69fd34cb46108190b43c3b7f67ec4cd4 |
completed | May 8, 2026, 12:56 a.m. |
Created at: April 28, 2026, 4:42 a.m.