Triple
T12997030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alexis Martin Woodall |
E322066
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Pose |
E735097
|
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: [Alexis Martin Woodall, notableWork, Pose]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pose Context triple: [Alexis Martin Woodall, notableWork, Pose]
-
A.
Pose
chosen
Pose is a groundbreaking American television drama series that explores New York City's ballroom culture of the 1980s and early 1990s, focusing on LGBTQ+ communities, particularly Black and Latinx trans women.
-
B.
Pose
"Pose" is a song by Nigerian Afropop singer Yemi Alade, showcasing her energetic style and dance-oriented sound.
-
C.
Pos
Pos is the stage name of Posdnuos, an American rapper best known as a member of the influential hip hop group De La Soul.
-
D.
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.
-
E.
Poise
Poise is a Kimberly-Clark brand of absorbent products designed primarily to manage light to moderate bladder leakage, especially for women.
- 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_69d8076479b8819090afce3591939cdf |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e7980288190a9fe629a8cc76a52 |
completed | April 10, 2026, 10:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c0fe9d608190b9d503f4da1fe0c0 |
completed | May 3, 2026, 3:29 a.m. |
Created at: April 9, 2026, 8:45 p.m.