Triple
T13151350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Penelope ortoni |
E312472
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
James Orton
James Orton was a 19th-century American naturalist and explorer known for his scientific expeditions in South America, particularly in the Andes and Amazon regions.
|
E1025264
|
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: James Orton | Statement: [Penelope ortoni, namedAfter, James Orton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: James Orton Context triple: [Penelope ortoni, namedAfter, James Orton]
-
A.
Mark Orton
Mark Orton is an American composer and multi-instrumentalist best known for his evocative film scores and work with the acoustic chamber group Tin Hat.
-
B.
Kevin Cahoon
Kevin Cahoon is an American actor and singer known for his work in Broadway musicals, television, and film.
-
C.
Matt Ostrander
Matt Ostrander is a musician best known for having been a member of the American alternative rock band Blue October.
-
D.
Lewis Hammerson
Lewis Hammerson was a British property developer and entrepreneur best known for establishing the Hammerson property investment and development company.
-
E.
Michael Nolin
Michael Nolin is an American film producer best known for his work on the acclaimed music drama "Mr. Holland's Opus."
- 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: James Orton Triple: [Penelope ortoni, namedAfter, James Orton]
Generated description
James Orton was a 19th-century American naturalist and explorer known for his scientific expeditions in South America, particularly in the Andes and Amazon regions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: James Orton Target entity description: James Orton was a 19th-century American naturalist and explorer known for his scientific expeditions in South America, particularly in the Andes and Amazon regions.
-
A.
Mark Orton
Mark Orton is an American composer and multi-instrumentalist best known for his evocative film scores and work with the acoustic chamber group Tin Hat.
-
B.
Kevin Cahoon
Kevin Cahoon is an American actor and singer known for his work in Broadway musicals, television, and film.
-
C.
Matt Ostrander
Matt Ostrander is a musician best known for having been a member of the American alternative rock band Blue October.
-
D.
Lewis Hammerson
Lewis Hammerson was a British property developer and entrepreneur best known for establishing the Hammerson property investment and development company.
-
E.
Michael Nolin
Michael Nolin is an American film producer best known for his work on the acclaimed music drama "Mr. Holland's Opus."
- 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_69d806aabde48190899e13e41659cae5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98bd1fc408190b4b5ca973bcee403 |
completed | April 10, 2026, 11:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eaeca00c8190aa5645d1084c7d60 |
completed | May 3, 2026, 6:27 a.m. |
| NEDg | Description generation | batch_69f6f17376c88190b08a4f2f5967b57c |
completed | May 3, 2026, 6:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6f1e5bc888190a0a82f45922de104 |
completed | May 3, 2026, 6:57 a.m. |
Created at: April 9, 2026, 9:11 p.m.