Triple
T3783485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anti |
E85471
|
entity |
| Predicate | deluxeEditionTrack |
P3284
|
FINISHED |
| Object | Pose |
E321900
|
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: Pose | Statement: [Anti, deluxeEditionTrack, Pose]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pose Context triple: [Anti, deluxeEditionTrack, Pose]
-
A.
Pose
chosen
"Pose" is a song by Nigerian Afropop singer Yemi Alade, showcasing her energetic style and dance-oriented sound.
-
B.
"Poses"
"Poses" is a critically acclaimed song by singer-songwriter Rufus Wainwright, known for its lush orchestration and introspective, poetic lyrics.
-
C.
Poson
Poson is a major Sri Lankan Buddhist festival that commemorates the introduction of Buddhism to the island, marked by religious observances, pilgrimages, and cultural celebrations.
-
D.
Posek
A posek is a Jewish legal scholar who issues authoritative rulings in matters of halakha (Jewish law).
-
E.
Pose (TV series)
Pose is an American drama television series that explores New York City's African-American and Latino LGBTQ+ ballroom culture scene in the late 20th century.
- 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_69aed937fa8881908208ef3801060826 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee76570b481909c26d47a3251b180 |
completed | March 9, 2026, 3:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4f04747448190be484cda5b2a7a8c |
completed | March 14, 2026, 5:21 a.m. |
Created at: March 9, 2026, 3:13 p.m.