Triple
T5562821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dom |
E145805
|
entity |
| Predicate | firstAscentBy |
P1321
|
FINISHED |
| Object |
J. W. Hayward
J. W. Hayward was a mountaineer known for making the first recorded ascent of the peak Dom in the Swiss Alps.
|
E539041
|
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: J. W. Hayward | Statement: [Dom, firstAscentBy, J. W. Hayward]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: J. W. Hayward Context triple: [Dom, firstAscentBy, J. W. Hayward]
-
A.
James Haygood
James Haygood is a film editor known for his work on major feature films and commercials, including editing the thriller "Panic Room."
-
B.
John Haviland
John Haviland was a prominent 19th-century British-born American architect best known for pioneering radial-plan prison designs and influencing modern penitentiary architecture.
-
C.
J. A. L. Waddell
J. A. L. Waddell was a prominent American civil engineer and bridge designer renowned for his innovative movable bridge designs in the late 19th and early 20th centuries.
-
D.
Canby Judd
Canby Judd is a fictional character appearing in the 1955 aviation drama film "Top Gun."
-
E.
Harold Hazen
Harold Hazen was an American electrical engineer and MIT professor known for his pioneering work in control systems and his role in developing early analog computing devices.
- 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: J. W. Hayward Triple: [Dom, firstAscentBy, J. W. Hayward]
Generated description
J. W. Hayward was a mountaineer known for making the first recorded ascent of the peak Dom in the Swiss Alps.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: J. W. Hayward Target entity description: J. W. Hayward was a mountaineer known for making the first recorded ascent of the peak Dom in the Swiss Alps.
-
A.
James Haygood
James Haygood is a film editor known for his work on major feature films and commercials, including editing the thriller "Panic Room."
-
B.
John Haviland
John Haviland was a prominent 19th-century British-born American architect best known for pioneering radial-plan prison designs and influencing modern penitentiary architecture.
-
C.
J. A. L. Waddell
J. A. L. Waddell was a prominent American civil engineer and bridge designer renowned for his innovative movable bridge designs in the late 19th and early 20th centuries.
-
D.
Canby Judd
Canby Judd is a fictional character appearing in the 1955 aviation drama film "Top Gun."
-
E.
Harold Hazen
Harold Hazen was an American electrical engineer and MIT professor known for his pioneering work in control systems and his role in developing early analog computing devices.
- 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_69c008fdae24819081aa002ad99cd966 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0201ba0e88190acd5bfaa5973f2d8 |
completed | March 22, 2026, 5 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c059ebd4008190ba410fac13900fe0 |
completed | March 22, 2026, 9:06 p.m. |
| NEDg | Description generation | batch_69c05b7b57d481909f830a6cf7f59c3e |
completed | March 22, 2026, 9:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c05c2046c48190a5d100f2dfad8d7b |
completed | March 22, 2026, 9:16 p.m. |
Created at: March 22, 2026, 3:36 p.m.