Triple
T22495874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas Ian Nicholas |
E556138
|
entity |
| Predicate | filmography |
P15620
|
FINISHED |
| Object | Please Give |
—
|
NE NERFINISHED |
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: Please Give | Statement: [Thomas Ian Nicholas, filmography, Please Give]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Please Give Context triple: [Thomas Ian Nicholas, filmography, Please Give]
-
A.
Please Give
chosen
Please Give is a 2010 indie dramedy film written and directed by Nicole Holofcener that explores guilt, privilege, and urban relationships among affluent New Yorkers.
-
B.
Happy to Give
"Happy to Give" is a song featured on Journey's 1986 album "Raised on Radio."
-
C.
Giving 2.0
Giving 2.0 is a book by Laura Arrillaga-Andreessen that offers a modern, strategic approach to effective philanthropy for individual donors.
-
D.
Give Love Give Life
Give Love Give Life is a nonprofit organization focused on raising awareness and support for women’s reproductive health issues, particularly gynecologic cancers.
-
E.
Anyway You Choose to Give It
"Anyway You Choose to Give It" is an electro-pop single by British duo The Black Ghosts, known for its catchy, danceable production and use in various film and TV soundtracks.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e5445bc8190b6a9481926db3355 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15cb2644c819094864bd88bcebcbd |
completed | April 29, 2026, 1:19 a.m. |
Created at: April 16, 2026, 8:49 p.m.