Triple
T16623822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Legion of Doom (DCAU) |
E403894
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Neutron (DCAU)
Neutron (DCAU) is a supervillain in the DC Animated Universe known for his energy-based powers and membership in the Legion of Doom.
|
E1224609
|
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: Neutron (DCAU) | Statement: [Legion of Doom (DCAU), hasMember, Neutron (DCAU)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neutron (DCAU) Context triple: [Legion of Doom (DCAU), hasMember, Neutron (DCAU)]
-
A.
Neutron
Neutron is Rocket Lab’s next-generation medium-lift reusable rocket designed to carry satellites and support missions including constellation deployment and potential human spaceflight.
-
B.
Neutron
Neutron is OpenStack’s networking service that provides scalable, programmable virtual networking for cloud environments.
-
C.
Neutor
Neutor is a historic city gate in Nuremberg, Germany, forming part of the city’s preserved medieval fortifications.
-
D.
Nuke
Nuke is the brash, hard-throwing rookie pitcher from the baseball film "Bull Durham," known for his wild talent and colorful personality.
-
E.
Nuke
Nuke is a violent, mentally unstable super-soldier and recurring antagonist in Marvel Comics, best known for his American flag facial tattoo and appearances in Daredevil stories.
- 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: Neutron (DCAU) Triple: [Legion of Doom (DCAU), hasMember, Neutron (DCAU)]
Generated description
Neutron (DCAU) is a supervillain in the DC Animated Universe known for his energy-based powers and membership in the Legion of Doom.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Neutron (DCAU) Target entity description: Neutron (DCAU) is a supervillain in the DC Animated Universe known for his energy-based powers and membership in the Legion of Doom.
-
A.
Neutron
Neutron is Rocket Lab’s next-generation medium-lift reusable rocket designed to carry satellites and support missions including constellation deployment and potential human spaceflight.
-
B.
Neutron
Neutron is OpenStack’s networking service that provides scalable, programmable virtual networking for cloud environments.
-
C.
Neutor
Neutor is a historic city gate in Nuremberg, Germany, forming part of the city’s preserved medieval fortifications.
-
D.
Nuke
Nuke is a colloquial term most commonly referring to a nuclear weapon or, more broadly, to the act of destroying something completely.
-
E.
Nuke
Nuke is the brash, hard-throwing rookie pitcher from the baseball film "Bull Durham," known for his wild talent and colorful personality.
- 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_69d883897eb481909eaaa088ba9918d9 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37550ee308190931fd50aeebe1e7e |
completed | April 18, 2026, 12:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007db866e48190886aec7658835543 |
completed | May 10, 2026, 12:44 p.m. |
| NEDg | Description generation | batch_6a007ee625c48190a7a97f34d5788808 |
completed | May 10, 2026, 12:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a007f75e7e48190ac5cf912cca60d9c |
completed | May 10, 2026, 12:52 p.m. |
Created at: April 10, 2026, 5:17 a.m.