Triple
T16624469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jak and Daxter |
E403910
|
entity |
| Predicate | notableCharacter |
P1481
|
FINISHED |
| Object |
Keira Hagai
Keira Hagai is a skilled mechanic and hovercraft engineer who serves as Jak’s close ally and love interest in the Jak and Daxter video game series.
|
E1224648
|
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: Keira Hagai | Statement: [Jak and Daxter, notableCharacter, Keira Hagai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Keira Hagai Context triple: [Jak and Daxter, notableCharacter, Keira Hagai]
-
A.
Kirsha Kaechele
Kirsha Kaechele is an American-born artist, curator, and social entrepreneur known for her experimental community projects and work with the Museum of Old and New Art (MONA) in Tasmania.
-
B.
Rebecca Dayan
Rebecca Dayan is a French actress and model known for her roles in film and television, including portraying Elsa Peretti in the Netflix miniseries "Halston."
-
C.
Keira Malik
Keira Malik is the daughter of British-Pakistani actor Art Malik.
-
D.
Tali Sasson
Tali Sasson is an Israeli lawyer and former state prosecutor best known for authoring the 2005 Sasson Report on illegal outposts in the West Bank.
-
E.
Leilani Sarelle
Leilani Sarelle is an American actress best known for her role as Roxy in the 1992 thriller film "Basic Instinct."
- 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: Keira Hagai Triple: [Jak and Daxter, notableCharacter, Keira Hagai]
Generated description
Keira Hagai is a skilled mechanic and hovercraft engineer who serves as Jak’s close ally and love interest in the Jak and Daxter video game series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Keira Hagai Target entity description: Keira Hagai is a skilled mechanic and hovercraft engineer who serves as Jak’s close ally and love interest in the Jak and Daxter video game series.
-
A.
Kirsha Kaechele
Kirsha Kaechele is an American-born artist, curator, and social entrepreneur known for her experimental community projects and work with the Museum of Old and New Art (MONA) in Tasmania.
-
B.
Rebecca Dayan
Rebecca Dayan is a French actress and model known for her roles in film and television, including portraying Elsa Peretti in the Netflix miniseries "Halston."
-
C.
Keira Malik
Keira Malik is the daughter of British-Pakistani actor Art Malik.
-
D.
Tali Sasson
Tali Sasson is an Israeli lawyer and former state prosecutor best known for authoring the 2005 Sasson Report on illegal outposts in the West Bank.
-
E.
Leilani Sarelle
Leilani Sarelle is an American actress best known for her role as Roxy in the 1992 thriller film "Basic Instinct."
- 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_69d883897eb481909eaaa088ba9918d9 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37550ee308190931fd50aeebe1e7e |
completed | April 18, 2026, 12:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007db866e48190886aec7658835543 |
completed | May 10, 2026, 12:44 p.m. |
| NEDg | Description generation | batch_6a007ee625c48190a7a97f34d5788808 |
completed | May 10, 2026, 12:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a007f75e7e48190ac5cf912cca60d9c |
completed | May 10, 2026, 12:52 p.m. |
Created at: April 10, 2026, 5:17 a.m.