Triple
T17747731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dichen Lachman |
E443030
|
entity |
| Predicate | playedCharacter |
P1507
|
FINISHED |
| Object | Jiaying |
—
|
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: Jiaying | Statement: [Dichen Lachman, playedCharacter, Jiaying]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jiaying Context triple: [Dichen Lachman, playedCharacter, Jiaying]
-
A.
Jiaying
chosen
Jiaying is an Inhuman leader and Daisy Johnson’s mother in Marvel’s Agents of S.H.I.E.L.D., known for her tragic past and morally complex pursuit of protecting her people.
-
B.
Qingyuan
Qingyuan is a prefecture-level city in northern Guangdong Province, China, known for its karst landscapes, hot springs, and role as a regional transport hub near the Pearl River Delta.
-
C.
Yunfu
Yunfu is a prefecture-level city in western Guangdong Province, China, known for its stone-processing industry and karst landscapes.
-
D.
Jilong
Jilong is a major port city in northern Taiwan, known in English as Keelung.
-
E.
Yifang
Yifang is a given name of Chinese origin used for both males and females.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47ad33160819093c9bbd3c8957314 |
completed | April 19, 2026, 6:48 a.m. |
Created at: April 10, 2026, 10:10 a.m.