Triple
T29444011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Color Out of Space (2019 film) |
E746794
|
entity |
| Predicate | actorForCharacterTheresaGardner |
P94795
|
FINISHED |
| Object | Joely Richardson |
—
|
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: Joely Richardson | Statement: [Color Out of Space (2019 film), actorForCharacterTheresaGardner, Joely Richardson]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: actorForCharacterTheresaGardner Context triple: [Color Out of Space (2019 film), actorForCharacterTheresaGardner, Joely Richardson]
-
A.
performerCharacterName
chosen
Indicates that a performer is associated with or portrays a specific character name in a performance or work.
-
B.
characterVoicedBy Debra Messing
Indicates that the character is voiced by Debra Messing.
-
C.
characterPlayedByKathleenQuinlan
Indicates that a given character is portrayed or acted by Kathleen Quinlan.
-
D.
actorRole
Indicates that an entity participates in an event or action in a specific capacity or function (such as performer, initiator, or responsible party).
-
E.
voiceTypeOfCharacter Ginevra
Indicates the type or quality of voice associated with the character Ginevra.
- 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_69f0a7a180e48190ae775e40047dbcb5 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f66b1f46cc8190aeed9e77976f5cd1 |
completed | May 2, 2026, 9:22 p.m. |
| PD | Predicate disambiguation | batch_69f66339175c819080bd70f0ff7057b1 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 28, 2026, 3:25 p.m.