Triple
T1378394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ornytion |
E29277
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Phocus
Phocus is a minor figure in Greek mythology known primarily as a descendant of the Corinthian royal line.
|
E158840
|
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: Phocus | Statement: [Ornytion, child, Phocus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Phocus Context triple: [Ornytion, child, Phocus]
-
A.
Phenax
Phenax is a small genus of flowering plants in the hemp family Cannabaceae, native to the Americas and typically found in tropical to subtropical regions.
-
B.
Fulcrum
Fulcrum is the NATO reporting name for the Soviet-designed Mikoyan MiG-29, a highly maneuverable fourth-generation multirole fighter aircraft.
-
C.
Thirlby
Thirlby is the surname of Olivia Thirlby, an American actress known for roles in films such as "Juno" and "Dredd."
-
D.
Vivanco
Vivanco is a Spanish-language surname of likely Iberian origin borne by various notable individuals.
-
E.
Ficker
Ficker is the birth surname of renowned American ballerina Suzanne Farrell, one of the most celebrated muses of choreographer George Balanchine.
- 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: Phocus Triple: [Ornytion, child, Phocus]
Generated description
Phocus is a minor figure in Greek mythology known primarily as a descendant of the Corinthian royal line.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Phocus Target entity description: Phocus is a minor figure in Greek mythology known primarily as a descendant of the Corinthian royal line.
-
A.
Phenax
Phenax is a small genus of flowering plants in the hemp family Cannabaceae, native to the Americas and typically found in tropical to subtropical regions.
-
B.
Fulcrum
Fulcrum is the NATO reporting name for the Soviet-designed Mikoyan MiG-29, a highly maneuverable fourth-generation multirole fighter aircraft.
-
C.
Thirlby
Thirlby is the surname of Olivia Thirlby, an American actress known for roles in films such as "Juno" and "Dredd."
-
D.
Vivanco
Vivanco is a Spanish-language surname of likely Iberian origin borne by various notable individuals.
-
E.
Ficker
Ficker is the birth surname of renowned American ballerina Suzanne Farrell, one of the most celebrated muses of choreographer George Balanchine.
- 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_69a498d883a48190bfdca525296ef7ee |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c3173548819082aec7c1af9c577c |
completed | March 1, 2026, 10:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acd488698481909411c004aadfcaec |
completed | March 8, 2026, 1:44 a.m. |
| NEDg | Description generation | batch_69acd625592481908c688802ce8381ee |
completed | March 8, 2026, 1:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69acd6daf83881909cf5a4105ebf14a5 |
completed | March 8, 2026, 1:54 a.m. |
Created at: March 1, 2026, 7:59 p.m.