Triple
T14942500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Safe Haven |
E372564
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Katie Feldman
Katie Feldman is the mysterious, guarded young woman who starts a new life in a small North Carolina town in Nicholas Sparks’ romantic drama "Safe Haven."
|
E1331664
|
NE FINISHED |
How this triple was built (4 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: Katie Feldman | Statement: [Safe Haven, mainCharacter, Katie Feldman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Katie Feldman Context triple: [Safe Haven, mainCharacter, Katie Feldman]
-
A.
Katie Newman
Katie Newman is a television producer best known for her executive production work on the NBC sitcom "Lopez vs Lopez."
-
B.
Katie Morosky
Katie Morosky is a politically passionate, idealistic Jewish woman whose complex romance with a more easygoing man forms the emotional core of the film "The Way We Were."
-
C.
Katie Weiland
Katie Weiland is an editor known for her work on the publication "The Watchers on the Wall."
-
D.
Katie Herzig
Katie Herzig is an American singer-songwriter and producer known for her atmospheric indie-pop sound and frequent placements in film and television.
-
E.
Katie McNeil
Katie McNeil is an American talent manager best known for her work in the music industry and for being married to singer-songwriter Neil Diamond.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Katie Feldman Triple: [Safe Haven, mainCharacter, Katie Feldman]
Generated description
Katie Feldman is the mysterious, guarded young woman who starts a new life in a small North Carolina town in Nicholas Sparks’ romantic drama "Safe Haven."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Katie Feldman Target entity description: Katie Feldman is the mysterious, guarded young woman who starts a new life in a small North Carolina town in Nicholas Sparks’ romantic drama "Safe Haven."
-
A.
Katie Newman
Katie Newman is a television producer best known for her executive production work on the NBC sitcom "Lopez vs Lopez."
-
B.
Katie Morosky
Katie Morosky is a politically passionate, idealistic Jewish woman whose complex romance with a more easygoing man forms the emotional core of the film "The Way We Were."
-
C.
Katie Weiland
Katie Weiland is an editor known for her work on the publication "The Watchers on the Wall."
-
D.
Katie Herzig
Katie Herzig is an American singer-songwriter and producer known for her atmospheric indie-pop sound and frequent placements in film and television.
-
E.
Katie McNeil
Katie McNeil is an American talent manager best known for her work in the music industry and for being married to singer-songwriter Neil Diamond.
- F. None of above. chosen
Provenance (5 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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded68c1df0819084c0cd61b207d398 |
completed | April 15, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a04f86dd054819084e9540deb2c836e |
completed | May 13, 2026, 10:17 p.m. |
| NEDg | Description generation | batch_6a04f9adb7e88190ab5cf82412fc4e11 |
completed | May 13, 2026, 10:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a04fa3fc8348190970145b3718cb01d |
completed | May 13, 2026, 10:25 p.m. |
Created at: April 10, 2026, 2:38 a.m.