Triple
T4331158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York Magazine |
E96750
|
entity |
| Predicate | hasSection |
P35
|
FINISHED |
| Object | Vulture |
E430829
|
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: Vulture | Statement: [New York Magazine, hasSection, Vulture]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vulture Context triple: [New York Magazine, hasSection, Vulture]
-
A.
Vulture
Vulture is a Marvel Comics supervillain, best known as one of Spider-Man’s earliest and recurring adversaries who uses a specialized winged suit to fly and commit crimes.
-
B.
Vulture
chosen
Vulture is an online entertainment and culture website known for its in-depth coverage of television, movies, music, and pop culture.
-
C.
Killing Birds
"Killing Birds" is a song featured on the album "Carry On."
-
D.
Old World vultures
Old World vultures are large scavenging birds of prey native to Europe, Asia, and Africa, known for feeding primarily on carrion and playing a crucial ecological role in cleaning up animal remains.
-
E.
Zabivaka
Zabivaka is the wolf character that served as the official mascot for major international football tournaments hosted by Russia, including the 2018 FIFA World Cup.
- 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_69b34542fd908190b11b08faad8decfd |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3514c39748190900e13e70ed8848c |
completed | March 12, 2026, 11:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5db98ae888190aac5b5b7839ae7dd |
completed | March 14, 2026, 10:05 p.m. |
Created at: March 12, 2026, 11:13 p.m.