Triple
T8339525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ismail Haniyeh |
E195874
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Amal Haniyeh
Amal Haniyeh is the wife of senior Hamas political leader and former Gaza prime minister Ismail Haniyeh.
|
E730308
|
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: Amal Haniyeh | Statement: [Ismail Haniyeh, spouse, Amal Haniyeh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amal Haniyeh Context triple: [Ismail Haniyeh, spouse, Amal Haniyeh]
-
A.
Niemeh Erekat
Niemeh Erekat is the wife of the late Palestinian diplomat and chief negotiator Saeb Erekat.
-
B.
Taysir Abu Sneineh
Taysir Abu Sneineh is a Palestinian politician who has served as the mayor of Hebron in the West Bank.
-
C.
Hanan Hashim
Hanan Hashim is the mother of Queen Alia al-Hussein of Jordan and a member of the extended Jordanian royal family.
-
D.
Razan Zaitouneh
Razan Zaitouneh is a prominent Syrian human rights lawyer and activist known for documenting abuses during the Syrian uprising and advocating for democracy and political prisoners.
-
E.
Nahed Ojjeh
Nahed Ojjeh is a Syrian-born French socialite and prominent figure in Parisian high society, known for her connections to political and cultural elites.
- 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: Amal Haniyeh Triple: [Ismail Haniyeh, spouse, Amal Haniyeh]
Generated description
Amal Haniyeh is the wife of senior Hamas political leader and former Gaza prime minister Ismail Haniyeh.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Amal Haniyeh Target entity description: Amal Haniyeh is the wife of senior Hamas political leader and former Gaza prime minister Ismail Haniyeh.
-
A.
Niemeh Erekat
Niemeh Erekat is the wife of the late Palestinian diplomat and chief negotiator Saeb Erekat.
-
B.
Taysir Abu Sneineh
Taysir Abu Sneineh is a Palestinian politician who has served as the mayor of Hebron in the West Bank.
-
C.
Hanan Hashim
Hanan Hashim is the mother of Queen Alia al-Hussein of Jordan and a member of the extended Jordanian royal family.
-
D.
Razan Zaitouneh
Razan Zaitouneh is a prominent Syrian human rights lawyer and activist known for documenting abuses during the Syrian uprising and advocating for democracy and political prisoners.
-
E.
Nahed Ojjeh
Nahed Ojjeh is a Syrian-born French socialite and prominent figure in Parisian high society, known for her connections to political and cultural elites.
- 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_69ca82ecbdc481908a55cad8ca062d88 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7fd7a3888190b54306ed862aded4 |
completed | March 31, 2026, 8:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cde79e916c8190afc90c3b12c68caf |
completed | April 2, 2026, 3:50 a.m. |
| NEDg | Description generation | batch_69cdec234ad8819080868076efdbe22c |
completed | April 2, 2026, 4:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cdecc83e408190b9ba1dc8acf5081b |
completed | April 2, 2026, 4:12 a.m. |
Created at: March 30, 2026, 5:57 p.m.