Triple
T13848041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jack O’Brien |
E332859
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Nance |
E1021964
|
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: The Nance | Statement: [Jack O’Brien, notableWork, The Nance]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Nance Context triple: [Jack O’Brien, notableWork, The Nance]
-
A.
The Nance
chosen
The Nance is a Broadway play by Douglas Carter Beane that explores the life and struggles of a gay burlesque performer in 1930s New York.
-
B.
Nanny
Nanny is the kind-hearted, loyal housekeeper who helps care for Pongo and Perdita’s puppies in Disney’s "One Hundred and One Dalmatians."
-
C.
Dayanhe, My Nanny
"Dayanhe, My Nanny" is a well-known poem by Chinese poet Ai Qing that affectionately commemorates the life and kindness of the nanny who raised him.
-
D.
For the Love of Nancy
For the Love of Nancy is a 1994 made-for-television drama film that follows a young woman's struggle with anorexia nervosa and its impact on her family.
-
E.
The Grownup
The Grownup is a darkly comic psychological thriller novella by Gillian Flynn that blends ghost-story elements with an unreliable narrator and twisty suspense.
- 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_69d81c5ba13c8190839315f54768acfd |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02b2a9788190b164760adec64ef6 |
completed | April 14, 2026, 9:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c0f189008190bb9afeef42564a33 |
completed | May 3, 2026, 9:41 p.m. |
Created at: April 9, 2026, 10:14 p.m.