Triple
T13687056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zaytoun |
E328158
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Gilad Eldar
Gilad Eldar is a film producer best known for his work on the British war drama "Zaytoun."
|
E1059456
|
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 Eldar | Statement: [Zaytoun, producer, Gilad Eldar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gilad Eldar Context triple: [Zaytoun, producer, Gilad Eldar]
-
A.
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.
-
B.
Josh Abraham
Josh Abraham is an American record producer known for his work with prominent rock and alternative bands such as Linkin Park, Limp Bizkit, and Velvet Revolver.
-
C.
Gilad Londovski
Gilad Londovski is an Israeli professional who is best known as the husband of acclaimed actress Ayelet Zurer.
-
D.
Amiel Ben-Horin
Amiel Ben-Horin is a central character in the Israeli television drama "Prisoners of War" (Hatufim), which inspired the American series "Homeland."
-
E.
Ronen Rubinstein
Ronen Rubinstein is an Israeli-American actor best known for starring as firefighter T.K. Strand on the television drama series "9-1-1: Lone Star."
- 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 Eldar Triple: [Zaytoun, producer, Gilad Eldar]
Generated description
Gilad Eldar is a film producer best known for his work on the British war drama "Zaytoun."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gilad Eldar Target entity description: Gilad Eldar is a film producer best known for his work on the British war drama "Zaytoun."
-
A.
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.
-
B.
Josh Abraham
Josh Abraham is an American record producer known for his work with prominent rock and alternative bands such as Linkin Park, Limp Bizkit, and Velvet Revolver.
-
C.
Gilad Londovski
Gilad Londovski is an Israeli professional who is best known as the husband of acclaimed actress Ayelet Zurer.
-
D.
Amiel Ben-Horin
Amiel Ben-Horin is a central character in the Israeli television drama "Prisoners of War" (Hatufim), which inspired the American series "Homeland."
-
E.
Ronen Rubinstein
Ronen Rubinstein is an Israeli-American actor best known for starring as firefighter T.K. Strand on the television drama series "9-1-1: Lone Star."
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc670968881908e2b4fdf656c7285 |
completed | April 12, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a8416d808190bd9cb77e0dd0d4be |
completed | May 3, 2026, 7:55 p.m. |
| NEDg | Description generation | batch_69f7a994cd688190a077a4854c5c71c9 |
completed | May 3, 2026, 8:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7aa2f696081908f48d44bf7271abc |
completed | May 3, 2026, 8:03 p.m. |
Created at: April 9, 2026, 9:53 p.m.