Triple
T9199002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Everything Now |
E220788
|
entity |
| Predicate | followedBy |
P78
|
FINISHED |
| Object | WE |
E217089
|
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: WE | Statement: [Everything Now, followedBy, WE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WE Context triple: [Everything Now, followedBy, WE]
-
A.
WE
chosen
WE is Arcade Fire’s 2022 studio album, a concept-driven indie rock record exploring themes of isolation, connection, and the modern human condition.
-
B.
We
"We" is Charles Lindbergh’s autobiographical account of his historic 1927 solo nonstop flight across the Atlantic and the events surrounding it.
-
C.
W
The W is a local New York City Subway service that runs on the BMT Broadway Line in Manhattan and Queens, typically operating on weekdays.
-
D.
W
W is one of the iconic white capital letters that make up the famous Hollywood Sign overlooking Los Angeles.
-
E.
WR
WR is the abbreviation for the German Council of Science and Humanities, a key advisory body that counsels the German federal and state governments on science, research, and higher education policy.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca83e8e9248190862cf3e41693b310 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd880ab808190aa785a5f1e5d5976 |
completed | April 1, 2026, 8:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d05c40267c8190926f4d5c912d0f45 |
completed | April 4, 2026, 12:33 a.m. |
Created at: March 30, 2026, 7:25 p.m.