Triple
T14301250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harry W. Gerstad |
E354567
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Gerstad
Gerstad is a surname most notably associated with Harry W. Gerstad, an American film editor who won Academy Awards for his work.
|
E1091493
|
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: Gerstad | Statement: [Harry W. Gerstad, familyName, Gerstad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gerstad Context triple: [Harry W. Gerstad, familyName, Gerstad]
-
A.
Ystad
Ystad is a historic coastal town in southern Sweden known for its medieval architecture and as the setting of Henning Mankell’s Kurt Wallander crime novels.
-
B.
Ballstad
Ballstad is a fishing village in Norway’s Lofoten archipelago, known for its scenic coastal landscape and traditional maritime culture.
-
C.
Strömstad
Strömstad is a coastal town and municipality in western Sweden, near the Norwegian border, known for its archipelago, tourism, and ferry connections.
-
D.
Stenstaden
Stenstaden is the historic stone-built city center of Sundsvall, Sweden, known for its ornate late 19th-century architecture.
-
E.
Hjulsta
Hjulsta is a suburb in northwestern Stockholm, Sweden, known for being the terminus of one of the Stockholm metro lines.
- 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: Gerstad Triple: [Harry W. Gerstad, familyName, Gerstad]
Generated description
Gerstad is a surname most notably associated with Harry W. Gerstad, an American film editor who won Academy Awards for his work.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gerstad Target entity description: Gerstad is a surname most notably associated with Harry W. Gerstad, an American film editor who won Academy Awards for his work.
-
A.
Ystad
Ystad is a historic coastal town in southern Sweden known for its medieval architecture and as the setting of Henning Mankell’s Kurt Wallander crime novels.
-
B.
Ballstad
Ballstad is a fishing village in Norway’s Lofoten archipelago, known for its scenic coastal landscape and traditional maritime culture.
-
C.
Strömstad
Strömstad is a coastal town and municipality in western Sweden, near the Norwegian border, known for its archipelago, tourism, and ferry connections.
-
D.
Stenstaden
Stenstaden is the historic stone-built city center of Sundsvall, Sweden, known for its ornate late 19th-century architecture.
-
E.
Hjulsta
Hjulsta is a suburb in northwestern Stockholm, Sweden, known for being the terminus of one of the Stockholm metro lines.
- 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_69d8278e17088190b328c5a9d4be74ff |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de717fc2348190bb6ba3109bd2871f |
completed | April 14, 2026, 4:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3d2883e081909c53170ef30b4125 |
completed | May 8, 2026, 1:32 a.m. |
| NEDg | Description generation | batch_69fd3dc46b408190b7c515156f81f1fc |
completed | May 8, 2026, 1:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd3eb045488190b44812eb638807ff |
completed | May 8, 2026, 1:38 a.m. |
Created at: April 10, 2026, 1:11 a.m.