Triple
T22702807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nouri al-Maliki |
E561367
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Abu Isra
Abu Isra is the nom de guerre of Nouri al-Maliki, the former Prime Minister of Iraq who led the country during the turbulent post-2003 period.
|
E1550104
|
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: Abu Isra | Statement: [Nouri al-Maliki, alsoKnownAs, Abu Isra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abu Isra Context triple: [Nouri al-Maliki, alsoKnownAs, Abu Isra]
-
A.
Abu Shukheidim
Abu Shukheidim is a Palestinian village in the central West Bank, situated near the town of Birzeit in the Ramallah and al-Bireh Governorate.
-
B.
Abu Madyan
Abu Madyan was a prominent 12th-century Andalusian-Maghrebi Sufi master and spiritual teacher whose doctrines deeply shaped later Islamic mysticism.
-
C.
Abu Al Hasaniya
Abu Al Hasaniya is a coastal residential district in Kuwait known for its upscale housing and seaside location.
-
D.
Abu Ser
Abu Ser is the central protagonist of the 1958 Egyptian film "Cairo Station," around whom the drama and social commentary of the story revolve.
-
E.
Nukhayb
Nukhayb is a small, strategically located town in Iraq’s western Anbar Governorate, serving as a key transit point near the Iraq–Saudi Arabia border.
- 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: Abu Isra Triple: [Nouri al-Maliki, alsoKnownAs, Abu Isra]
Generated description
Abu Isra is the nom de guerre of Nouri al-Maliki, the former Prime Minister of Iraq who led the country during the turbulent post-2003 period.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Abu Isra Target entity description: Abu Isra is the nom de guerre of Nouri al-Maliki, the former Prime Minister of Iraq who led the country during the turbulent post-2003 period.
-
A.
Abu Shukheidim
Abu Shukheidim is a Palestinian village in the central West Bank, situated near the town of Birzeit in the Ramallah and al-Bireh Governorate.
-
B.
Abu Madyan
Abu Madyan was a prominent 12th-century Andalusian-Maghrebi Sufi master and spiritual teacher whose doctrines deeply shaped later Islamic mysticism.
-
C.
Abu Al Hasaniya
Abu Al Hasaniya is a coastal residential district in Kuwait known for its upscale housing and seaside location.
-
D.
Abu Ser
Abu Ser is the central protagonist of the 1958 Egyptian film "Cairo Station," around whom the drama and social commentary of the story revolve.
-
E.
Nukhayb
Nukhayb is a small, strategically located town in Iraq’s western Anbar Governorate, serving as a key transit point near the Iraq–Saudi Arabia border.
- 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_69e2454e615481909c177440be559d2c |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f178cbf5788190bc8cd1bc71a861e5 |
completed | April 29, 2026, 3:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b7ed40b5c8190a2ac99d215de0c31 |
completed | May 18, 2026, 9:04 p.m. |
| NEDg | Description generation | batch_6a0b7f9ccb00819092fe5e9d71f545e4 |
completed | May 18, 2026, 9:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b806b4e1481909babc97a8914947a |
completed | May 18, 2026, 9:11 p.m. |
Created at: April 17, 2026, 3:16 p.m.