Triple
T35555571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shannon Plumb |
E1027482
|
entity |
| Predicate | Towheads |
P183239
|
FINISHED |
| Object | is a feature film she directed |
—
|
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: is a feature film she directed | Statement: [Shannon Plumb, Towheads, is a feature film she directed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Towheads Context triple: [Shannon Plumb, Towheads, is a feature film she directed]
-
A.
من السور
Indicates a relationship where something originates from, is taken from, or is part of a specific wall or fence.
-
B.
Listoghil
Indicates a relationship in which an entity is associated with or belongs to the place or context referred to as Listoghil.
-
C.
من بحور
Indicates a relationship where something belongs to, is taken from, or originates from a specific sea or type of poetic meter (baḥr).
-
D.
Höhepunkt
Indicates the climax or peak point reached within an event, process, or development.
-
E.
الغطاء النباتي
Indicates the presence, extent, or characteristics of plant cover in a given area.
- 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_69f76e014fd481909e9f04ac603a2aa9 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79a54aa3c8190b2bb5d790b2d42d4 |
completed | May 3, 2026, 6:56 p.m. |
| PD | Predicate disambiguation | batch_69f7961970408190b669cc556e30a608 |
completed | May 3, 2026, 6:38 p.m. |
| PDg | Predicate description generation | batch_69f79a53ccc481908421ae16e69aa8a4 |
completed | May 3, 2026, 6:56 p.m. |
Created at: May 3, 2026, 4:04 p.m.