Triple
T21753326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Niland, California |
E536968
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object |
Hobgood
Hobgood is the former name of Niland, a small community in Imperial County, California, known for its proximity to the Salton Sea and the offbeat art site Salvation Mountain.
|
E1501254
|
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: Hobgood | Statement: [Niland, California, formerName, Hobgood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hobgood Context triple: [Niland, California, formerName, Hobgood]
-
A.
Hobkin
Hobkin is a relatively uncommon surname that appears to be a variant or related form of the English surname Hopkin.
-
B.
Godehart
Godehart is a German given name, serving as a variant form of the name Gotthard.
-
C.
Hobbinol
Hobbinol is a rustic shepherd figure in Edmund Spenser’s pastoral poem "The Shepheardes Calender," representing an idealized, thoughtful country swain.
-
D.
Hober Mallow
Hober Mallow is a central character in Isaac Asimov's Foundation series, known as a shrewd merchant and political strategist who helps shape the early destiny of the Foundation.
-
E.
Harrick
Harrick is a surname most notably associated with Jim Harrick, an American college basketball coach who led UCLA to the 1995 NCAA championship.
- 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: Hobgood Triple: [Niland, California, formerName, Hobgood]
Generated description
Hobgood is the former name of Niland, a small community in Imperial County, California, known for its proximity to the Salton Sea and the offbeat art site Salvation Mountain.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hobgood Target entity description: Hobgood is the former name of Niland, a small community in Imperial County, California, known for its proximity to the Salton Sea and the offbeat art site Salvation Mountain.
-
A.
Hobkin
Hobkin is a relatively uncommon surname that appears to be a variant or related form of the English surname Hopkin.
-
B.
Godehart
Godehart is a German given name, serving as a variant form of the name Gotthard.
-
C.
Hobbinol
Hobbinol is a rustic shepherd figure in Edmund Spenser’s pastoral poem "The Shepheardes Calender," representing an idealized, thoughtful country swain.
-
D.
Hober Mallow
Hober Mallow is a central character in Isaac Asimov's Foundation series, known as a shrewd merchant and political strategist who helps shape the early destiny of the Foundation.
-
E.
Harrick
Harrick is a surname most notably associated with Jim Harrick, an American college basketball coach who led UCLA to the 1995 NCAA championship.
- 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_69e0c46eab808190b848242d63a17c47 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f01d8c57508190b45fb974ef0ded10 |
completed | April 28, 2026, 2:38 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a366e64988190b23063881a491a87 |
completed | May 17, 2026, 9:43 p.m. |
| NEDg | Description generation | batch_6a0a375bce908190b7d1433c4ac500c9 |
completed | May 17, 2026, 9:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a37e0bed48190b0319d62eaff5d1e |
completed | May 17, 2026, 9:49 p.m. |
Created at: April 16, 2026, 6:50 p.m.