Triple
T9921410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thamserku |
E187803
|
entity |
| Predicate | firstAscentBy |
P1321
|
FINISHED |
| Object |
Mike Gill
Mike Gill is a New Zealand mountaineer known for pioneering Himalayan ascents, including the first ascent of Thamserku.
|
E833387
|
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: Mike Gill | Statement: [Thamserku, firstAscentBy, Mike Gill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mike Gill Context triple: [Thamserku, firstAscentBy, Mike Gill]
-
A.
Michael Gilio
Michael Gilio is an American screenwriter and filmmaker best known for co-writing the fantasy adventure film "Dungeons & Dragons: Honor Among Thieves."
-
B.
Scott Gill
Scott Gill is a British architect and the long-term partner and husband of actor and singer John Barrowman.
-
C.
Jack Briggs
Jack Briggs was an American actor best known for his marriage to Hollywood star Ginger Rogers.
-
D.
Andy Fickman
Andy Fickman is an American film and television director known for family-friendly comedies and energetic, commercially successful studio movies.
-
E.
Christopher Lennertz
Christopher Lennertz is an American composer best known for his film, television, and video game scores, including work on major comedies, action films, and popular series like Supernatural.
- 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: Mike Gill Triple: [Thamserku, firstAscentBy, Mike Gill]
Generated description
Mike Gill is a New Zealand mountaineer known for pioneering Himalayan ascents, including the first ascent of Thamserku.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mike Gill Target entity description: Mike Gill is a New Zealand mountaineer known for pioneering Himalayan ascents, including the first ascent of Thamserku.
-
A.
Michael Gilio
Michael Gilio is an American screenwriter and filmmaker best known for co-writing the fantasy adventure film "Dungeons & Dragons: Honor Among Thieves."
-
B.
Scott Gill
Scott Gill is a British architect and the long-term partner and husband of actor and singer John Barrowman.
-
C.
Jack Briggs
Jack Briggs was an American actor best known for his marriage to Hollywood star Ginger Rogers.
-
D.
Andy Fickman
Andy Fickman is an American film and television director known for family-friendly comedies and energetic, commercially successful studio movies.
-
E.
Christopher Lennertz
Christopher Lennertz is an American composer best known for his film, television, and video game scores, including work on major comedies, action films, and popular series like Supernatural.
- 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_69ca82b22a688190b52c75bd48429c10 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb56abbb88190a21b8b77f1a25b81 |
completed | April 2, 2026, 12:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2578390888190b60f3962aec37b2d |
completed | April 5, 2026, 12:37 p.m. |
| NEDg | Description generation | batch_69d25889b0f08190a28c5401417fe3cc |
completed | April 5, 2026, 12:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d25977ab988190969ed8ff8eb53ddd |
completed | April 5, 2026, 12:45 p.m. |
Created at: March 30, 2026, 8:42 p.m.