Triple
T11142926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shiri Appleby |
E263599
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Swimfan |
E242694
|
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: Swimfan | Statement: [Shiri Appleby, notableWork, Swimfan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Swimfan Context triple: [Shiri Appleby, notableWork, Swimfan]
-
A.
Swimfan
chosen
Swimfan is a 2002 teen psychological thriller film about a high school swimmer whose life is upended by a dangerously obsessive admirer.
-
B.
SWIM
SWIM is a subsystem within the SARA framework, likely responsible for a specific functional module such as data handling, communication, or workflow management.
-
C.
Schwimmer
Schwimmer is a German-origin surname borne by various notable individuals in fields such as acting, politics, and activism.
-
D.
Josh in Swimfan
Josh in Swimfan is a supporting character in the 2002 teen thriller film "Swimfan," portrayed by actor Clayne Crawford.
-
E.
Swimming
Swimming is a water-based physical activity and sport involving self-propelled movement through water using coordinated limb and body motions.
- 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_69d6aa9c0ba08190bbd19c217489b755 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8623158819096ad1678fa9e72bb |
completed | April 9, 2026, 5:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e44215513481908909ce4289aabca6 |
completed | April 19, 2026, 2:46 a.m. |
Created at: April 8, 2026, 9:28 p.m.