Triple
T33728313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salome Otterbourne |
E864204
|
entity |
| Predicate | isPassengerWith |
P177251
|
FINISHED |
| Object | Hercule Poirot |
—
|
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: Hercule Poirot | Statement: [Salome Otterbourne, isPassengerWith, Hercule Poirot]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPassengerWith Context triple: [Salome Otterbourne, isPassengerWith, Hercule Poirot]
-
A.
hasPassengerRole
Indicates that an entity participates in a context or event specifically in the capacity or role of a passenger.
-
B.
isPassengerOnly
Indicates that the subject entity is restricted to passenger use only and does not accommodate cargo, freight, or mixed-use purposes.
-
C.
isInPassengerService
Indicates that an entity (such as a vehicle, vessel, or aircraft) is currently being used to carry passengers as part of regular service.
-
D.
hasThroughPassengersWith
Indicates that two transportation segments, services, or locations are connected by passengers who travel through them without starting or ending their journey there.
-
E.
appliesToPassengerType
Indicates that a rule, condition, or attribute is relevant or restricted to a specific type or category of passenger.
- F. None of above. chosen
Provenance (4 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_69f3498a64cc8190b4b414c67b280d93 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6fb1b91bc8190a40733039fe939b3 |
completed | May 3, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f6f96dd4c8819093d6a7bd046a9ad5 |
completed | May 3, 2026, 7:29 a.m. |
| PDg | Predicate description generation | batch_69f6fa335b908190a20d92d5396203b5 |
completed | May 3, 2026, 7:33 a.m. |
Created at: May 1, 2026, 1:44 a.m.