Triple
T19762184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ice Peak |
E474655
|
entity |
| Predicate | firstAscentBy |
P1321
|
FINISHED |
| Object |
Charles Tucker
Charles Tucker was a mountaineer known for completing the first recorded ascent of the peak Ice Peak.
|
E1393918
|
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: Charles Tucker | Statement: [Ice Peak, firstAscentBy, Charles Tucker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charles Tucker Context triple: [Ice Peak, firstAscentBy, Charles Tucker]
-
A.
Charles Tucker
Charles Tucker was a 19th-century British mountaineer known for participating in the first recorded ascent of Mount Kazbek in the Caucasus.
-
B.
Jack Deerson
Jack Deerson is a cinematographer best known for his work on the 1971 road movie "Two-Lane Blacktop."
-
C.
Nick Starr
Nick Starr is a British theatre producer and executive best known for co-founding and leading major London venues such as the Bridge Theatre.
-
D.
Alex Datcher
Alex Datcher is an American actress best known for her role as a flight attendant alongside Wesley Snipes in the 1992 action film "Passenger 57."
-
E.
Cale Tucker
Cale Tucker is the young, reluctant hero of the animated science fiction film "Titan A.E.," who becomes central to humanity’s survival after Earth’s destruction.
- 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: Charles Tucker Triple: [Ice Peak, firstAscentBy, Charles Tucker]
Generated description
Charles Tucker was a mountaineer known for completing the first recorded ascent of the peak Ice Peak.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Charles Tucker Target entity description: Charles Tucker was a mountaineer known for completing the first recorded ascent of the peak Ice Peak.
-
A.
Charles Tucker
Charles Tucker was a 19th-century British mountaineer known for participating in the first recorded ascent of Mount Kazbek in the Caucasus.
-
B.
Jack Deerson
Jack Deerson is a cinematographer best known for his work on the 1971 road movie "Two-Lane Blacktop."
-
C.
Nick Starr
Nick Starr is a British theatre producer and executive best known for co-founding and leading major London venues such as the Bridge Theatre.
-
D.
Alex Datcher
Alex Datcher is an American actress best known for her role as a flight attendant alongside Wesley Snipes in the 1992 action film "Passenger 57."
-
E.
Cale Tucker
Cale Tucker is the young, reluctant hero of the animated science fiction film "Titan A.E.," who becomes central to humanity’s survival after Earth’s destruction.
- 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_69d8e51a43a08190956bc6df13c91a77 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6532004d08190944234d35e74085b |
completed | April 20, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07bd6e35248190a53efc6f2c4eda89 |
completed | May 16, 2026, 12:42 a.m. |
| NEDg | Description generation | batch_6a07be323d8c819091566255921e4d4d |
completed | May 16, 2026, 12:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07bef941a08190bd4b1958afe199fa |
completed | May 16, 2026, 12:48 a.m. |
Created at: April 10, 2026, 1:48 p.m.