Triple
T16289224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tohono Oʼodham language |
E395472
|
entity |
| Predicate | hasISO6393Code |
P8719
|
FINISHED |
| Object |
ood
ood is the ISO 639-3 code for the Tohono Oʼodham language, a Uto-Aztecan language spoken by the Tohono Oʼodham people in the southwestern United States and northern Mexico.
|
E1205171
|
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: ood | Statement: [Tohono Oʼodham language, hasISO6393Code, ood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ood Context triple: [Tohono Oʼodham language, hasISO6393Code, ood]
-
A.
Joy
"Joy" is a 2015 biographical comedy-drama film starring Jennifer Lawrence as a struggling single mother who becomes a successful inventor and entrepreneur.
-
B.
Joy
Joy is the surname of Bill Joy, the influential American computer scientist and co-founder of Sun Microsystems.
-
C.
Joy
Joy is a character in John Steinbeck's novel "In Dubious Battle," involved in the labor strike central to the story's exploration of collective action and social struggle.
-
D.
Joy
Joy is a given name used for people of any gender, derived from the English word expressing happiness and delight.
-
E.
Joy
"Joy" is a song featured on the album *Midnight Love*, likely reflecting the record’s smooth, romantic R&B style.
- 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: ood Triple: [Tohono Oʼodham language, hasISO6393Code, ood]
Generated description
ood is the ISO 639-3 code for the Tohono Oʼodham language, a Uto-Aztecan language spoken by the Tohono Oʼodham people in the southwestern United States and northern Mexico.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ood Target entity description: ood is the ISO 639-3 code for the Tohono Oʼodham language, a Uto-Aztecan language spoken by the Tohono Oʼodham people in the southwestern United States and northern Mexico.
-
A.
Joy
"Joy" is a 2015 biographical comedy-drama film starring Jennifer Lawrence as a struggling single mother who becomes a successful inventor and entrepreneur.
-
B.
Joy
Joy is the surname of Bill Joy, the influential American computer scientist and co-founder of Sun Microsystems.
-
C.
Joy
Joy is a given name used for people of any gender, derived from the English word expressing happiness and delight.
-
D.
Joy
"Joy" is a song featured on the album *Midnight Love*, likely reflecting the record’s smooth, romantic R&B style.
-
E.
Joy
Joy is a character in John Steinbeck's novel "In Dubious Battle," involved in the labor strike central to the story's exploration of collective action and social struggle.
- 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_69d87f22c7248190a54c949738441e2e |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e249175e24819082e571039e278056 |
completed | April 17, 2026, 2:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a001f94ede48190835e8a0c6f5d0f19 |
completed | May 10, 2026, 6:03 a.m. |
| NEDg | Description generation | batch_6a002067aa708190bc2583c95ab133a4 |
completed | May 10, 2026, 6:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00214a2a908190a11388a63de1f7af |
completed | May 10, 2026, 6:10 a.m. |
Created at: April 10, 2026, 5:05 a.m.