Triple
T26704654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hishām ibn al-Mughīrah |
E673254
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object |
al-Walīd ibn al-Mughīrah
Al-Walīd ibn al-Mughīrah was a prominent Meccan leader and wealthy Quraysh chieftain known in early Islamic history for his opposition to the Prophet Muhammad.
|
E1774833
|
NE FINISHED |
How this triple was built (2 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: al-Walīd ibn al-Mughīrah | Statement: [Hishām ibn al-Mughīrah, relative, al-Walīd ibn al-Mughīrah]
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: al-Walīd ibn al-Mughīrah Triple: [Hishām ibn al-Mughīrah, relative, al-Walīd ibn al-Mughīrah]
Generated description
Al-Walīd ibn al-Mughīrah was a prominent Meccan leader and wealthy Quraysh chieftain known in early Islamic history for his opposition to the Prophet Muhammad.
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_69eecda2b49c8190a6c481cfc4c07954 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f6178209548190aa912801975c105f |
completed | May 2, 2026, 3:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a12bbb59e908190ba454a603a3de5ff |
completed | May 24, 2026, 8:49 a.m. |
| NEDg | Description generation | batch_6a12bc906eb481908d12f171b1230dbe |
completed | May 24, 2026, 8:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a12bd38f1948190a0b1f05ff28d8289 |
completed | May 24, 2026, 8:56 a.m. |
Created at: April 27, 2026, 3:33 a.m.