Triple
T15632165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abu Rashid |
E375841
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object |
Abu Rashid
Abu Rashid is a person whose specific identity or notable background is not clearly defined from the available information.
|
E375841
|
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 Rashid | Statement: [Abu Rashid, name, Abu Rashid]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abu Rashid Context triple: [Abu Rashid, name, Abu Rashid]
-
A.
Abu Rashid
Abu Rashid is a fictional figure from Don DeLillo’s novel "Mao II," associated with Middle Eastern terrorism and political extremism.
-
B.
Abu Hammad
Abu Hammad is a city in Egypt’s Sharqia Governorate, known as a local administrative and commercial center in the eastern Nile Delta region.
-
C.
Abu al-Najib
Abu al-Najib was a prominent 12th-century Persian Sufi master and founder of the Suhrawardiyya Sufi order.
-
D.
Abu Nasir
Abu Nasir was the personal name of Mu'in ud-din Muhammad Akbar Shah II, a Mughal emperor who ruled parts of India in the early 19th century under growing British influence.
-
E.
Abu’l-Faraj
Abu’l-Faraj is the honorific name (kunya) of the prominent 12th-century Hanbali scholar, preacher, and historian Ibn al-Jawzi of Baghdad.
- 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 Rashid Triple: [Abu Rashid, name, Abu Rashid]
Generated description
Abu Rashid is a person whose specific identity or notable background is not clearly defined from the available information.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Abu Rashid Target entity description: Abu Rashid is a person whose specific identity or notable background is not clearly defined from the available information.
-
A.
Abu Rashid
chosen
Abu Rashid is a fictional figure from Don DeLillo’s novel "Mao II," associated with Middle Eastern terrorism and political extremism.
-
B.
Abu Hammad
Abu Hammad is a city in Egypt’s Sharqia Governorate, known as a local administrative and commercial center in the eastern Nile Delta region.
-
C.
Abu al-Najib
Abu al-Najib was a prominent 12th-century Persian Sufi master and founder of the Suhrawardiyya Sufi order.
-
D.
Abu Nasir
Abu Nasir was the personal name of Mu'in ud-din Muhammad Akbar Shah II, a Mughal emperor who ruled parts of India in the early 19th century under growing British influence.
-
E.
Abu’l-Faraj
Abu’l-Faraj is the honorific name (kunya) of the prominent 12th-century Hanbali scholar, preacher, and historian Ibn al-Jawzi of Baghdad.
- F. None of above.
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_69d85cd035a48190b73d5579ab73969a |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04eb7338881909f3c430bb73f91d1 |
completed | April 16, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff5f472b648190b7cd532a1b16373e |
completed | May 9, 2026, 4:22 p.m. |
| NEDg | Description generation | batch_69ff606f627081909e6ea230f30c917b |
completed | May 9, 2026, 4:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff6136a8c88190a83ad9232a338082 |
completed | May 9, 2026, 4:30 p.m. |
Created at: April 10, 2026, 4:14 a.m.