Triple
T16624641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jak |
E403914
|
entity |
| Predicate | ally |
P4662
|
FINISHED |
| Object | Keira Hagai |
E1224648
|
NE FINISHED |
How this triple was built (2 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, ally, Keira Hagai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Keira Hagai Context triple: [Jak, ally, Keira Hagai]
-
A.
Keira Hagai
chosen
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.
-
B.
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.
-
C.
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."
-
D.
Keira Malik
Keira Malik is the daughter of British-Pakistani actor Art Malik.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_6a0084b7b94481909dfc0dd7b009a5b4 |
completed | May 10, 2026, 1:14 p.m. |
Created at: April 10, 2026, 5:17 a.m.