Triple
T6044805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Fairweather |
E134639
|
entity |
| Predicate | firstAscentBy |
P1321
|
FINISHED |
| Object |
Terris Moore
Terris Moore was an American mountaineer, explorer, and later university president known for pioneering ascents of major North American peaks.
|
E569593
|
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: Terris Moore | Statement: [Mount Fairweather, firstAscentBy, Terris Moore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Terris Moore Context triple: [Mount Fairweather, firstAscentBy, Terris Moore]
-
A.
Tim Moore
Tim Moore is a film producer best known for his frequent collaborations with director Clint Eastwood on movies such as "Sully," "American Sniper," and "Gran Torino."
-
B.
Scott Moore
Scott Moore is an American screenwriter best known for co-writing the hit comedy film "The Hangover."
-
C.
Nick Moore
Nick Moore is a British film editor best known for his work on popular films such as "Love Actually."
-
D.
Terry Molloy
Terry Molloy is a British actor best known for playing the villainous Davros in the long-running science fiction series Doctor Who.
-
E.
Ben Moore
Ben Moore is a British composer and musician recognized for his contributions to contemporary classical and choral music.
- 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: Terris Moore Triple: [Mount Fairweather, firstAscentBy, Terris Moore]
Generated description
Terris Moore was an American mountaineer, explorer, and later university president known for pioneering ascents of major North American peaks.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Terris Moore Target entity description: Terris Moore was an American mountaineer, explorer, and later university president known for pioneering ascents of major North American peaks.
-
A.
Tim Moore
Tim Moore is a film producer best known for his frequent collaborations with director Clint Eastwood on movies such as "Sully," "American Sniper," and "Gran Torino."
-
B.
Scott Moore
Scott Moore is an American screenwriter best known for co-writing the hit comedy film "The Hangover."
-
C.
Nick Moore
Nick Moore is a British film editor best known for his work on popular films such as "Love Actually."
-
D.
Terry Molloy
Terry Molloy is a British actor best known for playing the villainous Davros in the long-running science fiction series Doctor Who.
-
E.
Ben Moore
Ben Moore is a British composer and musician recognized for his contributions to contemporary classical and choral music.
- 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_69c00876a69881908088a2626d3b2666 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c056e41f98819089c205ba6138faf0 |
completed | March 22, 2026, 8:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1251a3bec81909a654976712f147d |
completed | March 23, 2026, 11:33 a.m. |
| NEDg | Description generation | batch_69c1299e4b788190a28069de0ce2d2db |
completed | March 23, 2026, 11:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c12a072b348190b576ee132a5d87be |
completed | March 23, 2026, 11:54 a.m. |
Created at: March 22, 2026, 4:09 p.m.