Triple
T29375061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen of Atlantis |
E744969
|
entity |
| Predicate | firstAppearanceHolder |
P29367
|
FINISHED |
| Object | Mera in Aquaman #11 (1963) |
—
|
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: Mera in Aquaman #11 (1963) | Statement: [Queen of Atlantis, firstAppearanceHolder, Mera in Aquaman #11 (1963)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstAppearanceHolder Context triple: [Queen of Atlantis, firstAppearanceHolder, Mera in Aquaman #11 (1963)]
-
A.
firstAppearanceFor
chosen
Indicates that an entity marks the initial occurrence or debut of another entity within a given context or medium.
-
B.
firstAppearanceType
Indicates the type or category of context (e.g., medium, format, or work) in which an entity makes its first recorded appearance.
-
C.
firstAppearsAs
Indicates that an entity is introduced or shown in a particular form, role, or identity for the first time in a given context.
-
D.
firstAppearanceAct
Indicates the act in which an entity makes its first appearance within a work or performance.
-
E.
firstAppeared
Indicates the earliest known time or context in which an entity was introduced, observed, or came into existence.
- 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_69f0a79ba954819094597628112c6091 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_6a00c9ddd62881909859a36b114a4132 |
completed | May 10, 2026, 6:09 p.m. |
| PD | Predicate disambiguation | batch_6a00c939b88881909d5353db4265e572 |
completed | May 10, 2026, 6:06 p.m. |
Created at: April 28, 2026, 2:30 p.m.