Triple
T10404031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Happy Perez |
E245217
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Quickie |
E249514
|
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: Quickie | Statement: [Happy Perez, notableWork, Quickie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Quickie Context triple: [Happy Perez, notableWork, Quickie]
-
A.
Quickie
chosen
"Quickie" is a song featured on the album "All I Want Is You" by American singer Miguel.
-
B.
Quick Fast
"Quick Fast" is a hip-hop track by the California rap duo Audio Push, known for its energetic delivery and West Coast-influenced production.
-
C.
Quick
Quick is the fast-talking, street-smart protagonist played by Eddie Murphy in the 1989 crime-comedy film "Harlem Nights."
-
D.
A Few Quick Ones
A Few Quick Ones is a collection of humorous short stories by P. G. Wodehouse, many of which feature his recurring characters and comic settings.
-
E.
Rapid Fire
Rapid Fire is a 1992 American action film starring Brandon Lee as a college student who becomes entangled in a deadly conflict between drug lords and federal agents.
- 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_69d381be340c8190b05998703d42d224 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9e5fb58819081d7d3e1dc625197 |
completed | April 7, 2026, 11:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7fbdb86788190bb1a8802f713fea2 |
completed | April 9, 2026, 7:19 p.m. |
Created at: April 6, 2026, 12:08 p.m.