Triple
T2317280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surah Al-Hadid |
E51094
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object |
The Iron
The Iron is the English title of Surah Al-Hadid, the 57th chapter of the Qur’an, which emphasizes faith, charity, and the transient nature of worldly life.
|
E256488
|
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: The Iron | Statement: [Surah Al-Hadid, name, The Iron]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Iron Context triple: [Surah Al-Hadid, name, The Iron]
-
A.
Ferro
Ferro is an alternative name for El Hierro, the smallest and westernmost of Spain’s Canary Islands in the Atlantic Ocean.
-
B.
Ирон (Iron)
Ирон (Iron) is the self-designation used by Ossetians for their own ethnic group and language.
-
C.
The Hammer
The Hammer is the nickname of mixed martial artist and former UFC champion Matt Hamilton, known for his powerful striking style.
-
D.
Steelman
Steelman is a surname of English origin borne by various notable individuals, including American economist and presidential advisor John R. Steelman.
-
E.
Haynrode
Haynrode is a small village in the German state of Thuringia.
- 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: The Iron Triple: [Surah Al-Hadid, name, The Iron]
Generated description
The Iron is the English title of Surah Al-Hadid, the 57th chapter of the Qur’an, which emphasizes faith, charity, and the transient nature of worldly life.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Iron Target entity description: The Iron is the English title of Surah Al-Hadid, the 57th chapter of the Qur’an, which emphasizes faith, charity, and the transient nature of worldly life.
-
A.
Ferro
Ferro is an alternative name for El Hierro, the smallest and westernmost of Spain’s Canary Islands in the Atlantic Ocean.
-
B.
Ирон (Iron)
Ирон (Iron) is the self-designation used by Ossetians for their own ethnic group and language.
-
C.
The Hammer
The Hammer is the nickname of mixed martial artist and former UFC champion Matt Hamilton, known for his powerful striking style.
-
D.
Steelman
Steelman is a surname of English origin borne by various notable individuals, including American economist and presidential advisor John R. Steelman.
-
E.
Haynrode
Haynrode is a small village in the German state of Thuringia.
- 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_69a88b074b908190ae983dbca7757d88 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc62df2048190ac7a5ebc0a4139b2 |
completed | March 7, 2026, 6:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae8964902081909070dd03ccb7cf1f |
completed | March 9, 2026, 8:48 a.m. |
| NEDg | Description generation | batch_69ae8ab5bf78819085120418a26cbe28 |
completed | March 9, 2026, 8:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae8b2a89788190975ab66f432f834f |
completed | March 9, 2026, 8:56 a.m. |
Created at: March 4, 2026, 7:49 p.m.