Triple
T15996094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Griffin Dunne |
E387968
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | I Love Dick |
E756789
|
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: I Love Dick | Statement: [Griffin Dunne, notableWork, I Love Dick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I Love Dick Context triple: [Griffin Dunne, notableWork, I Love Dick]
-
A.
I Love Dick
chosen
I Love Dick is a 2016 Amazon Studios comedy-drama television series, based on Chris Kraus’s novel, that explores desire, art, and gender politics in a small Texas art community.
-
B.
I Love You, Man
I Love You, Man is a 2009 buddy comedy film starring Paul Rudd as a friendless groom-to-be who embarks on a quest to find a best man, leading to an unlikely but heartfelt bromance.
-
C.
Carry On Dick
Carry On Dick is a 1974 British comedy film in the long-running "Carry On" series, parodying the legend of highwayman Dick Turpin.
-
D.
Love, Blactually
"Love, Blactually" is an episode of the animated sitcom Family Guy centered on Loretta Brown and her romantic entanglements.
-
E.
The Santaland Diaries
The Santaland Diaries is a humorous autobiographical essay by David Sedaris recounting his experiences working as a Christmas elf at Macy’s in New York City.
- 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1578709608190bae7bafa59280849 |
completed | April 16, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3d79dec8190b02e003f93e5dad6 |
completed | May 9, 2026, 11:31 p.m. |
Created at: April 10, 2026, 4:55 a.m.