Triple
T24043021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Albert Dussel |
E595436
|
entity |
| Predicate | sharesRoomWith |
P154640
|
FINISHED |
| Object | Anne Frank |
—
|
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: Anne Frank | Statement: [Albert Dussel, sharesRoomWith, Anne Frank]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sharesRoomWith Context triple: [Albert Dussel, sharesRoomWith, Anne Frank]
-
A.
sharesBedWith
Indicates that two entities sleep in the same bed.
-
B.
sharesReservationWith
Indicates that two or more entities are associated with the same reservation record or booking.
-
C.
sharesFacilityWith
Indicates that two entities use or have access to the same physical facility or location.
-
D.
sharesInteriorWith
Indicates that two entities occupy overlapping or common interior regions in space, without necessarily sharing boundaries or exteriors.
-
E.
sharesCorridorWith
Indicates that two entities are located along or connected by the same corridor or passageway.
- 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_69e288c06a908190899cad4531f32c9a |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d8db3b4c81908a36eace8ec136cc |
completed | April 29, 2026, 10:09 a.m. |
| PD | Predicate disambiguation | batch_69f1764345388190a3102b62ddb729b4 |
completed | April 29, 2026, 3:08 a.m. |
| PDg | Predicate description generation | batch_69f1785afe3c81909be28986ffe944bf |
completed | April 29, 2026, 3:17 a.m. |
Created at: April 17, 2026, 9:58 p.m.