Triple
T11319569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dan Hedaya |
E268056
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Hedaya
Hedaya is a surname most notably associated with American character actor Dan Hedaya, known for his numerous film and television roles.
|
E918948
|
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: Hedaya | Statement: [Dan Hedaya, familyName, Hedaya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hedaya Context triple: [Dan Hedaya, familyName, Hedaya]
-
A.
Obeidat
Obeidat is a prominent Arab tribe based in eastern Libya, historically influential in the region’s social and political landscape.
-
B.
Al-Masir
Al-Masir is a 1997 historical drama film by Egyptian director Youssef Chahine that portrays the life and ideas of the 12th-century philosopher Averroes (Ibn Rushd).
-
C.
At-Tariq
At-Tariq is the 86th chapter of the Qur’an, known for its vivid opening oath by the night-piercing star and its emphasis on God’s power over creation and resurrection.
-
D.
Khath‘am
Khath‘am is an ancient Arab tribe known from early Islamic history, to which the companion Asma bint Umais belonged.
-
E.
Fardis
Fardis is a city in Iran that serves as an urban center within the country's Alborz Province.
- 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: Hedaya Triple: [Dan Hedaya, familyName, Hedaya]
Generated description
Hedaya is a surname most notably associated with American character actor Dan Hedaya, known for his numerous film and television roles.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hedaya Target entity description: Hedaya is a surname most notably associated with American character actor Dan Hedaya, known for his numerous film and television roles.
-
A.
Obeidat
Obeidat is a prominent Arab tribe based in eastern Libya, historically influential in the region’s social and political landscape.
-
B.
Al-Masir
Al-Masir is a 1997 historical drama film by Egyptian director Youssef Chahine that portrays the life and ideas of the 12th-century philosopher Averroes (Ibn Rushd).
-
C.
At-Tariq
At-Tariq is the 86th chapter of the Qur’an, known for its vivid opening oath by the night-piercing star and its emphasis on God’s power over creation and resurrection.
-
D.
Khath‘am
Khath‘am is an ancient Arab tribe known from early Islamic history, to which the companion Asma bint Umais belonged.
-
E.
Fardis
Fardis is a city in Iran that serves as an urban center within the country's Alborz Province.
- 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_69d6aaca5c24819083db46a30d86cb34 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9de875481908acfa56015d4b46f |
completed | April 9, 2026, 6:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e525e2549081909ec99e4c7006fd66 |
completed | April 19, 2026, 6:58 p.m. |
| NEDg | Description generation | batch_69e52c81449c8190847b64fa91a45b2e |
completed | April 19, 2026, 7:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e531b079708190ac9e19127d36a848 |
completed | April 19, 2026, 7:49 p.m. |
Created at: April 8, 2026, 9:32 p.m.