Triple
T14479700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Insurgent |
E359065
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Maggie Q |
E388270
|
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: Maggie Q | Statement: [Insurgent, starring, Maggie Q]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maggie Q Context triple: [Insurgent, starring, Maggie Q]
-
A.
Maggie Q
chosen
Maggie Q is an American actress and model best known for her action roles in films like the Mission: Impossible franchise and the TV series Nikita and Designated Survivor.
-
B.
Nina Sharp
Nina Sharp is a high-ranking executive at Massive Dynamic and a key figure in the science-fiction TV series "Fringe," known for her complex moral ambiguity and deep involvement in the show's fringe science conspiracies.
-
C.
Maya Van Dien
Maya Van Dien is the daughter of American actress Catherine Oxenberg and actor Casper Van Dien.
-
D.
Lisa Lu
Lisa Lu is a Chinese-American actress known for her distinguished film and television career spanning both Hollywood and Chinese cinema, including a prominent role in "Crazy Rich Asians."
-
E.
Laura Harrier
Laura Harrier is an American actress and model best known for her roles in films like "Spider-Man: Homecoming" and "BlacKkKlansman."
- 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_69d827966698819082e140837737501d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de924a576c819098351efabdb779b1 |
completed | April 14, 2026, 7:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd64a257488190818c65c1cc84c4b5 |
completed | May 8, 2026, 4:20 a.m. |
Created at: April 10, 2026, 1:20 a.m.