Triple
T9198843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arlo Guthrie |
E220784
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Arlo
Arlo is a given name most famously associated with American folk singer-songwriter Arlo Guthrie.
|
E668932
|
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: Arlo | Statement: [Arlo Guthrie, givenName, Arlo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arlo Context triple: [Arlo Guthrie, givenName, Arlo]
-
A.
Alby
Alby is a residential suburban locality within Botkyrka Municipality in the Stockholm metropolitan area of Sweden.
-
B.
Alby
Alby is a small village located on the island of Öland in southeastern Sweden, known for its rural landscape and coastal surroundings within Mörbylånga Municipality.
-
C.
Arlo Bates
Arlo Bates was an American author, editor, and educator known for his novels, literary criticism, and long tenure as a professor of English at the Massachusetts Institute of Technology.
-
D.
Sawyer
Sawyer is a surname of English origin commonly borne by individuals in English-speaking countries.
-
E.
Arly
Arly is a river in southeastern France that flows through the town of Albertville in the Savoie region.
- 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: Arlo Triple: [Arlo Guthrie, givenName, Arlo]
Generated description
Arlo is a given name most famously associated with American folk singer-songwriter Arlo Guthrie.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Arlo Target entity description: Arlo is a given name most famously associated with American folk singer-songwriter Arlo Guthrie.
-
A.
Alby
Alby is a residential suburban locality within Botkyrka Municipality in the Stockholm metropolitan area of Sweden.
-
B.
Alby
Alby is a small village located on the island of Öland in southeastern Sweden, known for its rural landscape and coastal surroundings within Mörbylånga Municipality.
-
C.
Arlo Bates
chosen
Arlo Bates was an American author, editor, and educator known for his novels, literary criticism, and long tenure as a professor of English at the Massachusetts Institute of Technology.
-
D.
Sawyer
Sawyer is a surname of English origin commonly borne by individuals in English-speaking countries.
-
E.
Arly
Arly is a river in southeastern France that flows through the town of Albertville in the Savoie region.
- F. None of above.
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_69ca83e8e9248190862cf3e41693b310 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd880ab808190aa785a5f1e5d5976 |
completed | April 1, 2026, 8:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d05c40267c8190926f4d5c912d0f45 |
completed | April 4, 2026, 12:33 a.m. |
| NEDg | Description generation | batch_69d062a1052c81908e549949839baba7 |
completed | April 4, 2026, 1 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d063cd3ae081909ce9289cf62b1598 |
completed | April 4, 2026, 1:05 a.m. |
Created at: March 30, 2026, 7:25 p.m.