Triple
T12232195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kang the Conqueror |
E291500
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Iron Lad |
E939453
|
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: Iron Lad | Statement: [Kang the Conqueror, alsoKnownAs, Iron Lad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iron Lad Context triple: [Kang the Conqueror, alsoKnownAs, Iron Lad]
-
A.
Iron Lad
chosen
Iron Lad is a time-traveling teenage hero and early member of the Young Avengers who is a younger incarnation of the villain Kang the Conqueror.
-
B.
Iron Felix
Iron Felix is the nickname of Felix Dzerzhinsky, the Soviet revolutionary who founded and led the Cheka, the Bolshevik secret police.
-
C.
Iron Juggernaut
Iron Juggernaut is a powerful Warrior-class Hearthstone minion that shuffles a devastating "Burrowing Mine" into the opponent’s deck, dealing heavy damage when drawn.
-
D.
Iron Arm
Iron Arm is the nickname of William Iron Arm, a prominent 11th-century Norman adventurer and military leader in southern Italy.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6ab668acc8190963ba424049d6aee |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91ca45bd48190b8b7f6b29b6bb25b |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60aad2d488190ba36588e3376ca1a |
completed | May 2, 2026, 2:31 p.m. |
Created at: April 8, 2026, 9:51 p.m.