Triple
T10445277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hercule Poirot film series (Kenneth Branagh) |
E246269
|
entity |
| Predicate | filmCount |
P8980
|
FINISHED |
| Object | 3 |
—
|
LITERAL 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: 3 | Statement: [Hercule Poirot film series (Kenneth Branagh), filmCount, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmCount Context triple: [Hercule Poirot film series (Kenneth Branagh), filmCount, 3]
-
A.
numberOfFilmsDirected
Indicates the total count of films that a given entity has directed.
-
B.
numberOfFilmsProduced
Indicates the total count of films that an entity has produced.
-
C.
numberOfFilmsAppearedIn
chosen
Indicates the total count of distinct films in which a given entity has appeared.
-
D.
filmBase
Indicates the primary location or headquarters from which a film-related entity (such as a production, company, or operation) is based or operates.
-
E.
composedForNumberOfFilms
Indicates the number of films for which an entity has composed music or a score.
- F. None of above.
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_69d381c04fe08190957c26c526a3b05a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4fe083cd881909d2d8ad75d1d94cb |
completed | April 7, 2026, 12:52 p.m. |
| PD | Predicate disambiguation | batch_69d4fb73a5e48190a8df4775bc5da80f |
completed | April 7, 2026, 12:41 p.m. |
Created at: April 6, 2026, 12:16 p.m.