Triple
T12553361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julia Nickson |
E300148
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object | Ethan Mao |
E990460
|
NE 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: Ethan Mao | Statement: [Julia Nickson, appearedIn, Ethan Mao]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ethan Mao Context triple: [Julia Nickson, appearedIn, Ethan Mao]
-
A.
Ethan Mao
chosen
Ethan Mao is a 2004 independent drama film directed by Quentin Lee that follows a gay Asian American teenager who returns home after being kicked out, leading to a tense family hostage situation.
-
B.
Nathan Wang
Nathan Wang is an American composer known for scoring numerous films and television shows, often blending orchestral and contemporary styles.
-
C.
Daniel Zhang
Daniel Zhang is a Chinese business executive best known for leading Alibaba Group through a major period of global expansion and for creating the Singles’ Day shopping festival.
-
D.
Garrett Wang
Garrett Wang is an American actor best known for playing Ensign Harry Kim on the television series Star Trek: Voyager.
-
E.
Izaac Wang
Izaac Wang is an American child actor best known for voicing Boun in Disney's animated film "Raya and the Last Dragon."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6ada707008190aaec1238117c9379 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9548444d081908f00cea1ce7032c7 |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65eb538388190b9fb78306fbab2f3 |
completed | May 2, 2026, 8:29 p.m. |
Created at: April 8, 2026, 9:58 p.m.