Triple
T22100533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phenomena |
E546157
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Jennifer Connelly |
—
|
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: Jennifer Connelly | Statement: [Phenomena, starring, Jennifer Connelly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jennifer Connelly Context triple: [Phenomena, starring, Jennifer Connelly]
-
A.
Jennifer Connelly
chosen
Jennifer Connelly is an American actress acclaimed for her versatile performances in films ranging from independent dramas to major Hollywood productions, including her Oscar-winning role in "A Beautiful Mind."
-
B.
Michelle Ryan
Michelle Ryan is a British actress best known for her role as Zoe Slater in the BBC soap opera "EastEnders" and for starring in the TV series "Bionic Woman."
-
C.
Michelle Ryan
Michelle Ryan is best known as the wife of former NFL head coach and defensive coordinator Rex Ryan.
-
D.
Jessica Witherspoon
Jessica Witherspoon is a fictional character known primarily as a member of Gus Witherspoon’s family in the television series "Our House."
-
E.
Julie Hayden
Julie Hayden was an American short story writer and journalist known for her acclaimed collection "The Lists of the Past" and her work at The New Yorker.
- 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_69e11e378dc08190896d6a51597afd5a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1291501508190ad5689be5abb2ba6 |
completed | April 28, 2026, 9:39 p.m. |
Created at: April 16, 2026, 8:30 p.m.