Triple
T3647697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rebecca Hall |
E77340
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Passing |
E199786
|
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: Passing | Statement: [Rebecca Hall, notableWork, Passing]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Passing Context triple: [Rebecca Hall, notableWork, Passing]
-
A.
Passing
chosen
"Passing" is a 2021 black-and-white drama film, based on Nella Larsen’s novel, that explores racial identity and colorism in 1920s Harlem.
-
B.
Passabe
Passabe is a village and administrative post in the Oecusse exclave of Timor-Leste, known for its remote location and its role in the region’s political and social history.
-
C.
Pasy
Pasy is the popular nickname of the Polish football club Cracovia, one of the oldest and most historic teams in Poland.
-
D.
Ossuccio
Ossuccio is a small lakeside locality on the western shore of Lake Como in northern Italy, known for its scenic setting opposite the historic Isola Comacina.
-
E.
Getting On
Getting On is an American dark comedy television series set in a dysfunctional hospital geriatric ward, adapted from the British show of the same name.
- 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_69ad85de1b988190a45f8dbfebc806fc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc38aa2388190bf1af926375e2433 |
completed | March 8, 2026, 6:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b44f3c85348190b1d16179294f7f09 |
completed | March 13, 2026, 5:54 p.m. |
Created at: March 8, 2026, 3:24 p.m.