Triple
T35280202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Killjoys |
E1018913
|
entity |
| Predicate | characterDutchFullName |
P13254
|
FINISHED |
| Object |
Yalena Yardeen
Yalena Yardeen, better known as Dutch, is the skilled and resourceful lead bounty hunter in the sci-fi television series "Killjoys."
|
E2133849
|
NE FINISHED |
How this triple was built (3 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: Yalena Yardeen | Statement: [Killjoys, characterDutchFullName, Yalena Yardeen]
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: Yalena Yardeen Triple: [Killjoys, characterDutchFullName, Yalena Yardeen]
Generated description
Yalena Yardeen, better known as Dutch, is the skilled and resourceful lead bounty hunter in the sci-fi television series "Killjoys."
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterDutchFullName Context triple: [Killjoys, characterDutchFullName, Yalena Yardeen]
-
A.
hasNameInDutch
chosen
Indicates that an entity is associated with a specific name or label expressed in the Dutch language.
-
B.
hasNameInMiddleDutch
Indicates that an entity is associated with a specific name as it appears in the Middle Dutch language.
-
C.
hasLaterDutchName
Indicates that an entity was known by a different Dutch name at a later time than its original or earlier Dutch name.
-
D.
isEquivalentSurnameInDutch
Indicates that two surnames are equivalent or correspond to each other in their Dutch form or usage.
-
E.
characterFullName
Indicates that the predicate specifies the complete, formal name of a character.
- F. None of above.
Provenance (6 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_69f76de6d39c8190bb11342e4b91ff2b |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ff9361943c81909544203cbc998a69 |
completed | May 9, 2026, 8:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a380fc1146c8190a05baba52431a2c1 |
completed | June 21, 2026, 4:22 p.m. |
| NEDg | Description generation | batch_6a38103c0bd881909b0e95da1efa3da9 |
completed | June 21, 2026, 4:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a3810c0f4708190ae5ac288af246fcd |
completed | June 21, 2026, 4:26 p.m. |
| PD | Predicate disambiguation | batch_69ff913138a08190b59bdc9d8d199eb3 |
completed | May 9, 2026, 7:55 p.m. |
Created at: May 3, 2026, 4:03 p.m.