Triple
T15636571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jessica Jones |
E375959
|
entity |
| Predicate | featuresActor |
P15562
|
FINISHED |
| Object | Terry Chen |
E668113
|
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: Terry Chen | Statement: [Jessica Jones, featuresActor, Terry Chen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Terry Chen Context triple: [Jessica Jones, featuresActor, Terry Chen]
-
A.
Terry Chen
chosen
Terry Chen is a Canadian actor known for his roles in films like "Snakes on a Plane" and various television series.
-
B.
John Cheng
John Cheng is a film producer best known for his work on the dark comedy movie "Horrible Bosses."
-
C.
Sean Chen
Sean Chen is a Taiwanese politician and technocrat who served as Premier of the Republic of China (Taiwan) in the early 2010s, known for his background in finance and economic policy.
-
D.
Terence Chang
Terence Chang is a Hong Kong-born film producer best known for his collaborations with director John Woo on action films in both Asian and Hollywood cinema.
-
E.
Jerry Chen
Jerry Chen is a prominent venture capitalist and general partner at Greylock Partners, known for investing in enterprise software and infrastructure startups.
- 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_69d85cd035a48190b73d5579ab73969a |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04eba51f08190ac5d9de7fc89405a |
completed | April 16, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff5f4923ac8190a03fe1f2c878c27e |
completed | May 9, 2026, 4:22 p.m. |
Created at: April 10, 2026, 4:14 a.m.