Triple
T14541209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pom Poms |
E341172
|
entity |
| Predicate | hasTitle |
P38
|
FINISHED |
| Object | Pom Poms |
E341172
|
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: Pom Poms | Statement: [Pom Poms, hasTitle, Pom Poms]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pom Poms Context triple: [Pom Poms, hasTitle, Pom Poms]
-
A.
Pom Poms
chosen
"Pom Poms" is a high-energy pop-rock single by the Jonas Brothers, known for its brass-heavy sound and upbeat, celebratory vibe.
-
B.
Pom-Pom
Pom-Pom is the pampered white palace cat in Disney’s Cinderella universe, known for antagonizing the mice, especially Jaq and Gus.
-
C.
Poms
Poms is a 2019 comedy film about a group of women in a retirement community who form a cheerleading squad, starring Rhea Perlman among its ensemble cast.
-
D.
Pom
Pom is the first name of Pom Klementieff, a French actress best known for playing Mantis in the Marvel Cinematic Universe.
-
E.
Poosh
Poosh is Kourtney Kardashian’s lifestyle and wellness brand and content platform, featuring advice, products, and curated recommendations on beauty, health, and living.
- 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_69d822db9c8481908213ceb39585f792 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb1bd0dd4819094c8b2f2aa6b1c5e |
completed | April 14, 2026, 9:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd7a5eb85c8190a0c1696b63ddf8e1 |
completed | May 8, 2026, 5:53 a.m. |
Created at: April 10, 2026, 1:22 a.m.