Triple
T17095412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portia Doubleday |
E414834
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object | Her (2013 film) |
E774886
|
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: Her (2013 film) | Statement: [Portia Doubleday, appearedIn, Her (2013 film)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Her (2013 film) Context triple: [Portia Doubleday, appearedIn, Her (2013 film)]
-
A.
Her (2013 film)
chosen
Her (2013 film) is a science-fiction romantic drama directed by Spike Jonze that follows a lonely man who develops a deep emotional relationship with an advanced operating system.
-
B.
Elle
Elle is the solitary female protagonist of Francis Poulenc’s one-act opera *La voix humaine*, whose intense telephone monologue lays bare her emotional collapse during a breakup.
-
C.
Elle
Elle is the codename of Elle Driver, a deadly one-eyed assassin from Quentin Tarantino’s Kill Bill films.
-
D.
Elle
Elle is a globally recognized fashion and lifestyle magazine known for its coverage of style, beauty, culture, and celebrity features.
-
E.
Finding Her
"Finding Her" is an independent film project associated with actor Rhys Coiro, likely a drama centered on personal relationships or self-discovery.
- 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_69d886cfc8e88190b05ba466edd35591 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbfc9158819081689d3d594a1908 |
completed | April 18, 2026, 7:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012eedfd7c8190b267dedd403f5f2b |
completed | May 11, 2026, 1:20 a.m. |
Created at: April 10, 2026, 5:35 a.m.