Triple
T19928708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | מְפִיבֹשֶׁת |
E478994
|
entity |
| Predicate | ZibaRole |
P137875
|
FINISHED |
| Object | servant of Saul’s house |
—
|
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: servant of Saul’s house | Statement: [מְפִיבֹשֶׁת, ZibaRole, servant of Saul’s house]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ZibaRole Context triple: [מְפִיבֹשֶׁת, ZibaRole, servant of Saul’s house]
-
A.
roleInBladeII
Indicates that an entity has a specific role or participation in the movie "Blade II."
-
B.
roleInWZRD
Indicates that an entity holds a specific role or function within the context of WZRD.
-
C.
ZawiszaRole
Indicates that an entity holds or is assigned a specific role or function within the Zawisza context.
-
D.
sonRole
Indicates that one entity holds the role or relationship of a son with respect to another entity.
-
E.
roleInSyriana
Indicates that one entity has a specific role or involvement in the context of "Syriana," such as participation, function, or contribution related to it.
- 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_69d8e521855c8190b41871700afc8d6a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e659cd4500819090363a4b7d6bf193 |
completed | April 20, 2026, 4:52 p.m. |
| PD | Predicate disambiguation | batch_69e537f070b481908958e0e5911dcdc1 |
completed | April 19, 2026, 8:15 p.m. |
| PDg | Predicate description generation | batch_69e543c136b081909cab9394b958390a |
completed | April 19, 2026, 9:06 p.m. |
Created at: April 10, 2026, 1:53 p.m.