Triple
T5315280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raymond, New Hampshire |
E119131
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
John Raymond
John Raymond was an early settler and prominent local figure after whom the town of Raymond, New Hampshire, was named.
|
E511811
|
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: John Raymond | Statement: [Raymond, New Hampshire, namedAfter, John Raymond]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Raymond Context triple: [Raymond, New Hampshire, namedAfter, John Raymond]
-
A.
Raymond Francis Reynolds
Raymond Francis Reynolds was the father of famed American actress and singer Debbie Reynolds.
-
B.
Lawrence Raymond
Lawrence Raymond was a son of Henry Jarvis Raymond, the influential 19th-century American journalist, politician, and co-founder of The New York Times.
-
C.
Raymond Smith
Raymond Smith is a character known for being linked to the medical condition of dry eye.
-
D.
Raymond Smith
Raymond Smith is a central figure in the crime film "The Gentlemen," serving as the right-hand man and trusted enforcer for marijuana kingpin Mickey Pearson.
-
E.
John Gilroy
John Gilroy is a film editor known for his work on major Hollywood productions, including the science-fiction monster film "Pacific Rim."
- 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: John Raymond Triple: [Raymond, New Hampshire, namedAfter, John Raymond]
Generated description
John Raymond was an early settler and prominent local figure after whom the town of Raymond, New Hampshire, was named.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Raymond Target entity description: John Raymond was an early settler and prominent local figure after whom the town of Raymond, New Hampshire, was named.
-
A.
Raymond Francis Reynolds
Raymond Francis Reynolds was the father of famed American actress and singer Debbie Reynolds.
-
B.
Lawrence Raymond
Lawrence Raymond was a son of Henry Jarvis Raymond, the influential 19th-century American journalist, politician, and co-founder of The New York Times.
-
C.
Raymond Smith
Raymond Smith is a central figure in the crime film "The Gentlemen," serving as the right-hand man and trusted enforcer for marijuana kingpin Mickey Pearson.
-
D.
Raymond Smith
Raymond Smith is a character known for being linked to the medical condition of dry eye.
-
E.
John Gilroy
John Gilroy is a film editor known for his work on major Hollywood productions, including the science-fiction monster film "Pacific Rim."
- 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_69bd446b57bc8190a513d2e6c40314f3 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd854eb3248190b42a4b52f1c81bef |
completed | March 20, 2026, 5:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf188d3a2c8190ad06d1b71ef73780 |
completed | March 21, 2026, 10:15 p.m. |
| NEDg | Description generation | batch_69bf195d26e88190b86c16cd6adc7c5c |
completed | March 21, 2026, 10:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf1a0bbed08190bf21bd99343b90a4 |
completed | March 21, 2026, 10:22 p.m. |
Created at: March 20, 2026, 1:54 p.m.