Triple
T26197881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Walrus |
E655155
|
entity |
| Predicate | firstAppearedOnRelease |
P18472
|
FINISHED |
| Object | I Am the Walrus single |
—
|
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: I Am the Walrus single | Statement: [The Walrus, firstAppearedOnRelease, I Am the Walrus single]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstAppearedOnRelease Context triple: [The Walrus, firstAppearedOnRelease, I Am the Walrus single]
-
A.
firstAppeared
Indicates the earliest known time or context in which an entity was introduced, observed, or came into existence.
-
B.
firstAppearedAt
chosen
Indicates the point in time or specific event at which an entity was first introduced, observed, or became known.
-
C.
firstReleasedAs
Indicates the original title or form under which an entity (such as a work, product, or version) was initially released before any later re-releases, renamings, or editions.
-
D.
firstReleasedVia
Indicates the original platform, channel, or medium through which something (such as a product, work, or content) was first released or made available.
-
E.
firstUsedOn
Indicates the date, time, or context in which something was initially applied, activated, or put into use on a particular object or 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_69ee5b48236c81908fe385b6afc4f60b |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69fddd373cdc8190be1b12e70e4deb1f |
completed | May 8, 2026, 12:55 p.m. |
| PD | Predicate disambiguation | batch_69fddc6915a88190ad41e379aa3ede13 |
completed | May 8, 2026, 12:51 p.m. |
Created at: April 26, 2026, 8:47 p.m.