Triple
T32508746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sersi |
E830872
|
entity |
| Predicate | mcuPortrayalBy |
P45792
|
FINISHED |
| Object | Gemma Chan |
—
|
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: Gemma Chan | Statement: [Sersi, mcuPortrayalBy, Gemma Chan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mcuPortrayalBy Context triple: [Sersi, mcuPortrayalBy, Gemma Chan]
-
A.
MCUPortrayal
chosen
Indicates that one entity serves as the portrayal or representation of another within the Marvel Cinematic Universe.
-
B.
mcuAppearance
Indicates that an entity appears in, or is featured within, a Marvel Cinematic Universe (MCU) work.
-
C.
portrayalRecognition
Indicates that one entity recognizes or identifies another entity as a portrayal or representation of a particular subject or character.
-
D.
portrayedVia
Indicates that one entity is represented, depicted, or expressed through a particular medium, method, or channel.
-
E.
portrayalFeature
Indicates that one entity serves as a characteristic, aspect, or attribute highlighted in the depiction or representation of another entity.
- 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_69f3492318348190ba37fb6b5f1d67f4 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c44d21648190ada905d52e251b1f |
completed | May 3, 2026, 3:43 a.m. |
| PD | Predicate disambiguation | batch_69f6bd2a14b081908162923dfbf0a6f4 |
completed | May 3, 2026, 3:12 a.m. |
Created at: May 1, 2026, 1 a.m.