Triple
T15355055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jennifer Aniston |
E367150
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Justin Theroux |
E141145
|
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: Justin Theroux | Statement: [Jennifer Aniston, spouse, Justin Theroux]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Justin Theroux Context triple: [Jennifer Aniston, spouse, Justin Theroux]
-
A.
Justin Theroux
chosen
Justin Theroux is an American actor, screenwriter, and director known for roles in films like "Mulholland Drive" and the series "The Leftovers," as well as for co-writing comedies such as "Tropic Thunder" and "Iron Man 2."
-
B.
Mattias Ferrell
Mattias Ferrell is one of the sons of American actor and comedian Will Ferrell.
-
C.
Dax Shepard
Dax Shepard is an American actor, comedian, writer, director, and podcast host known for roles in films like "Without a Paddle" and the TV series "Parenthood," as well as for hosting the popular podcast "Armchair Expert."
-
D.
Brad Fuller
Brad Fuller is a film editor known for his work on the documentary "He Named Me Malala."
-
E.
Brad Fuller
Brad Fuller is an American film and television producer best known for co-founding Platinum Dunes and producing numerous horror franchises, including remakes of classic slasher films and projects like The Purge.
- 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e2c00648190ae2325e1ee58dcfd |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff219635b08190a19dcaeb72240379 |
completed | May 9, 2026, 11:59 a.m. |
Created at: April 10, 2026, 3:18 a.m.