Triple
T4005390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ayelet Zurer |
E89512
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Gilad Londovski
Gilad Londovski is an Israeli professional who is best known as the husband of acclaimed actress Ayelet Zurer.
|
E407482
|
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: Gilad Londovski | Statement: [Ayelet Zurer, spouse, Gilad Londovski]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gilad Londovski Context triple: [Ayelet Zurer, spouse, Gilad Londovski]
-
A.
Harel Weinstein
Harel Weinstein is an Israeli-American neuroscientist and biophysicist known for his work on membrane proteins and computational neuroscience.
-
B.
Mark Shtaif
Mark Shtaif is an Israeli electrical engineer and academic who serves as rector of Tel Aviv University and is known for his research in optical communications and photonics.
-
C.
Ilan Eshkeri
Ilan Eshkeri is a British composer known for his orchestral film scores and collaborations on movies, television, and video games.
-
D.
Michael Shvo
Michael Shvo is a high-profile real estate developer and art collector known for leading luxury property projects in major global cities.
-
E.
Joshua Ilan Gad
Joshua Ilan Gad is an American actor and comedian best known for voicing Olaf in Disney's Frozen franchise and for his roles in film, television, and on Broadway.
- 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: Gilad Londovski Triple: [Ayelet Zurer, spouse, Gilad Londovski]
Generated description
Gilad Londovski is an Israeli professional who is best known as the husband of acclaimed actress Ayelet Zurer.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gilad Londovski Target entity description: Gilad Londovski is an Israeli professional who is best known as the husband of acclaimed actress Ayelet Zurer.
-
A.
Harel Weinstein
Harel Weinstein is an Israeli-American neuroscientist and biophysicist known for his work on membrane proteins and computational neuroscience.
-
B.
Mark Shtaif
Mark Shtaif is an Israeli electrical engineer and academic who serves as rector of Tel Aviv University and is known for his research in optical communications and photonics.
-
C.
Ilan Eshkeri
Ilan Eshkeri is a British composer known for his orchestral film scores and collaborations on movies, television, and video games.
-
D.
Michael Shvo
Michael Shvo is a high-profile real estate developer and art collector known for leading luxury property projects in major global cities.
-
E.
Joshua Ilan Gad
Joshua Ilan Gad is an American actor and comedian best known for voicing Olaf in Disney's Frozen franchise and for his roles in film, television, and on Broadway.
- 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_69aed9585e788190bec2d39deba3750f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefa5f7b308190adaad864eec98936 |
completed | March 9, 2026, 4:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b54c648d3c8190a85e5cdfb20f6044 |
completed | March 14, 2026, 11:54 a.m. |
| NEDg | Description generation | batch_69b54cf3da208190aa844c9ea66354fe |
completed | March 14, 2026, 11:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b55159dc288190a63d5f5164b73bbb |
completed | March 14, 2026, 12:15 p.m. |
Created at: March 9, 2026, 3:34 p.m.